"REVIEW : Recent advances in developing web-servers for predicting protein attributes"
written by Kuo-Chen Chou, Hong-Bin Shen,
published by Natural Science, Vol.1 No.2, 2009
has been cited by the following article(s):
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[1] iProtease-PseAAC (2L): A two-layer predictor for identifying proteases and their types using Chou's 5-step-rule and general PseAAC
2020
[2] Use of Chou's 5-Steps Rule to Reveal Active Compound and Mechanism of Shuangshen Pingfei San on Idiopathic Pulmonary Fibrosis
2020
[3] Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
2020
[4] An intelligent computational model for prediction of promoters and their strength via natural language processing
2020
[5] A deep learning-based computational approach for discrimination of DNA N6-methyladenosine sites by fusing heterogeneous features
2020
[6] Identifying Enhancers and Their Strength by the Integration of Word Embedding and Convolution Neural Network
2020
[7] iHyd-ProSite: A novel Computational Approach for Identifying Hydroxylation Sites in Proline Via Mathematical Modeling
2020
[8] Plant-mSubP: a computational framework for the prediction of single-and multi-target protein subcellular localization using integrated machine-learning approaches
2020
[9] Locate-R: Subcellular localization of long non-coding RNAs using nucleotide compositions
2020
[10] Identification of Human Secretome and Membrane Proteome-Based Cancer Biomarkers Utilizing Bioinformatics
2020
[11] Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques
2020
[12] Detecting De Novo Plasmodesmata Targeting Signals and Identifying PD Targeting Proteins
2019
[13] Identify Lysine Neddylation Sites Using Bi-Profile Bayes Feature Extraction via the Chou's 5-Steps Rule and General Pseudo Components
2019
[14] iMethylK-PseAAC: Improving Accuracy of Lysine Methylation Sites Identification by Incorporating Statistical Moments and Position Relative Features into General …
2019
[15] Prediction of Nitrosocysteine Sites Using Position and Composition Variant Features
2019
[16] Advance in Predicting Subcellular Localization of Multi-label Proteins and its Implication for Developing Multi-target Drugs
2019
[17] DeepIon: Deep learning approach for classifying ion transporters and ion channels from membrane proteins
2019
[18] dForml (KNN)-PseAAC: Detecting Formylation sites from protein sequences using K-nearest neighbor algorithm via Chou's 5-step rule and Pseudo components
2019
[19] iRSpot-SPI: Deep learning-based recombination spots prediction by incorporating secondary sequence information coupled with physio-chemical properties via …
2019
[20] Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation
2019
[21] A two-level computation model based on deep learning algorithm for identification of piRNA and their functions via Chou's 5-steps rule
2019
[22] Inhibition of α-amylase Activity by Zn2+: Insights from Spectroscopy and Molecular Dynamics Simulations
2019
[23] Tensor Algebra-based Geometrical (3D) Biomacro-Molecular Descriptors for Protein Research: Theory, Applications and Comparison with other Methods
2019
[24] A classification model for lncRNA and mRNA based on k-mers and a convolutional neural network
2019
[25] iN6-Methyl (5-step): Identifying RNA N6-methyladenosine sites using deep learning mode via Chou's 5-step rules and Chou's general PseKNC
2019
[26] MsDBP: Exploring DNA-binding Proteins by Integrating Multi-scale Sequence Information via Chou's 5-steps Rule
Journal of Proteome Research, 2019
[27] MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou's Five-Step Rule
2019
[28] iDHS-DSAMS: Identifying DNase I hypersensitive sites based on the dinucleotide property matrix and ensemble bagged tree
2019
[29] Physicochemical n‐Grams Tool: A tool for protein physicochemical descriptor generation via Chou's 5‐steps rule
2019
[30] Prediction of lysine formylation sites using the composition of k-spaced amino acid pairs via Chou's 5-steps rule and general pseudo components
2019
[31] Identifying FL11 subtype by characterizing tumor immune microenvironment in prostate adenocarcinoma via Chou's 5-steps rule
2019
[32] 19F-NMR in Target-based Drug Discovery
2019
[33] RAACBook: a web server of reduced amino acid alphabet for sequence-dependent inference by using Chou's five-step rule
2019
[34] Plant-mSubP: a computational framework for the prediction of single and multi-target protein subcellular localization using integrated machine-learning …
2019
[35] RBPro-RF: Use Chou's 5-steps rule to predicting RNA-binding proteins via random forest with elastic net
2019
[36] On the internal correlations of protein sequences probed by non-alignment methods: Novel signatures for drug and antibody targets via the Burrows-Wheeler …
2019
[37] 4mCCNN: Identification of N4-methylcytosine Sites in Prokaryotes Using Convolutional Neural Network
IEEE Access, 2019
[38] Identifying DNase I hypersensitive sites using multi-features fusion and F-score features selection via Chou's 5-steps rule
2019
[39] csDMA: an improved bioinformatics tool for identifying DNA 6 mA modifications via Chou's 5-step rule
2019
[40] Advances in Electrochemistry for Monitoring Cellular Chemical Flux
2019
[41] AtbPpred: A robust sequence-based prediction of anti-tubercular peptides using extremely randomized trees
2019
[42] Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks
2019
[43] The Inhibition of Polysialyltranseferase ST8SiaIV Through Heparin Binding to Polysialyltransferase Domain (PSTD)
2019
[44] Identification of prokaryotic promoters and their strength by integrating heterogeneous features
2019
[45] Impacts of pseudo amino acid components and 5-steps rule to proteomics and proteome analysis
2019
[46] Using Chou's general pseudo amino acid composition to classify laccases from bacterial and fungal sources via Chou's five-step rule
2019
[47] Advances in predicting subcellular localization of multi-label proteins and its implication for developing multi-target drugs
2019
[48] Recent progresses in predicting protein subcellular localization with artificial intelligence (AI) tools developed via the 5‐steps rule
2019
[49] Identification of Phage Virion Proteins by Using the g-gap Tripeptide Composition
2019
[50] iN6-methylat (5-step): identifying DNA N6-methyladenine sites in rice genome using continuous bag of nucleobases via Chou's 5-step rule
2019
[51] iNR-2L: A two-level sequence-based predictor developed via Chou's 5-steps rule and general PseAAC for identifying nuclear receptors and their families
2019
[52] Application of Machine Learning Techniques to Predict Protein Phosphorylation Sites
2019
[53] Application of Machine Learning Approaches for the Design and Study of Anticancer Drugs
2019
[54] The preliminary efficacy evaluation of the CTLA-4-Ig treatment against Lupus nephritis through in-silico analyses
2019
[55] iHyd-PseAAC (EPSV): Identifying Hydroxylation Sites in Proteins by Extracting Enhanced Position and Sequence Variant Feature via Chou's 5-Step Rule and General …
2019
[56] Structural Variability in the RLR-MAVS Pathway and Sensitive Detection of Viral RNAs
2019
[57] Structure‐guided identification of antimicrobial peptides in the spathe transcriptome of the non‐model plant, arum lily (Zantedeschia aethiopica)
2019
[58] In silico minimalist approach to study 2D HP protein folding into an inhomogeneous space mimicking osmolyte effect: First trial in the search of foldameric backbones
2019
[59] Established and In-trial GPCR Families in Clinical Trials: A Review for Target Selection
2019
[60] Sequence and structure‐based characterization of ubiquitination sites in human and yeast proteins using Chou's sample formulation
2019
[61] iAFP-gap-SMOTE: An Efficient Feature Extraction Scheme Gapped Dipeptide Composition is Coupled with an Oversampling Technique for Identification of Antifreeze …
2019
[62] iPhosH-PseAAC: Identify phosphohistidine sites in proteins by blending statistical moments and position relative features according to the Chou's 5-step rule and …
2019
[63] iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule
2019
[64] iDHS-DMCAC: identifying DNase I hypersensitive sites with balanced dinucleotide-based detrending moving-average cross-correlation coefficient
2019
[65] An Epidemic Avian Influenza Prediction Model Based on Google Trends
2019
[66] DAKB-GPCRs: An Integrated Computational Platform for Drug Abuse Related GPCRs
2019
[67] Bioimage-based Prediction of Protein Subcellular Location in Human Tissue with Ensemble Features and Deep Networks
2019
[68] LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion
2019
[69] Plant protection product dose rate estimation in apple orchards using a fuzzy logic system
2019
[70] iSS-CNN: Identifying splicing sites using convolution neural network
2019
[71] Recent Advances in Computational Methods for Identifying Anticancer Peptides
2019
[72] Identification and characterization of WD40 superfamily genes in peach
2019
[73] pLoc_bal-mVirus: Predict Subcellular Localization of Multi-Label Virus Proteins by Chou's General PseAAC and IHTS Treatment to Balance Training Dataset
2019
[74] pLoc_bal-mEuk: predict subcellular localization of eukaryotic proteins by general PseAAC and quasi-balancing training dataset
2019
[75] The multiple applications and possible mechanisms of the hyperbaric oxygenation therapy
2019
[76] iHyd-PseAAC (EPSV): Identifying Hydroxylation Sites in Proteins by Extracting Enhanced Position and Sequence Variant Feature via Chou's 5-Step Rule and …
2019
[77] Identifying N6-methyladenosine sites using extreme gradient boosting system optimized by particle swarm optimizer
2019
[78] Speed up differential evolution for computationally expensive protein structure prediction problems
2019
[79] SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins
2019
[80] MFSC: Multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components
2019
[81] pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments
2019
[82] EPAI-NC: Enhanced prediction of adenosine to inosine RNA editing sites using nucleotide compositions
2019
[83] SPalmitoylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-palmitoylation sites in proteins
2019
[84] HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and support vector machine
2019
[85] MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters
2019
[86] iRNA-PseKNC (2methyl): Identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components
2019
[87] iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding
2019
[88] Analysis and prediction of animal toxins by various Chou's pseudo components and reduced amino acid compositions
2019
[89] Hydrogen bond analysis of the EGFR-ErbB3 heterodimer related to non-small cell lung cancer and drug resistance
2019
[90] Predicting protein–protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach
2019
[91] Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou's general PseAAC
2019
[92] UbiSitePred: A novel method for improving the accuracy of ubiquitination sites prediction by using LASSO to select the optimal Chou's pseudo components
2019
[93] iSulfoTyr-PseAAC: Identify Tyrosine Sulfation Sites by Incorporating Statistical Moments via Chou's 5-steps Rule and Pseudo Components
2019
[94] cACP: Classifying anticancer peptides using discriminative intelligent model via Chou's 5-step rules and general pseudo components
2019
[95] HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou's Five-Step Rule
2019
[96] iPredCNC: Computational prediction model for cancerlectins and non-cancerlectins using novel cascade features subset selection
2019
[97] An energy model for recognizing the prokaryotic promoters based on molecular structure
2019
[98] iPPI-PseAAC (CGR): Identify protein-protein interactions by incorporating chaos game representation into PseAAC
Journal of Theoretical Biology, 2019
[99] Improved DNA-binding protein identification by incorporating evolutionary information into the Chou's PseAAC
2018
[100] Fu-SulfPred: Identification of Protein S-sulfenylation Sites by Fusing Forests via Chou's General PseAAC
Journal of Theoretical Biology, 2018
[101] piRNN: deep learning algorithm for piRNA prediction
2018
[102] iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC
Genomics, 2018
[103] iRO-3wPseKNC: Identify DNA replication origins by three-window-based PseKNC
2018
[104] BlaPred: Predicting and classifying β-lactamase using a 3-tier prediction system via Chou's general PseAAC
Journal of Theoretical Biology, 2018
[105] iRNA (m6A)-PseDNC: identifying N6-methyladenosine sites using pseudo dinucleotide composition
Analytical Biochemistry, 2018
[106] Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition
Journal of Theoretical Biology, 2018
[107] pLoc_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC
Journal of Theoretical Biology, 2018
[108] pLoc_bal-mHum: Predict subcellular localization of human proteins by PseAAC and quasi-balancing training dataset
Genomics, 2018
[109] pDHS-DSET: Prediction of DNase I hypersensitive sites in plant genome using DS evidence theory
Analytical Biochemistry, 2018
[110] pLoc_bal-mGpos: Predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC
Genomics, 2018
[111] iRSpot-SF: Prediction of recombination hotspots by incorporating sequence based features into Chou's Pseudo components
Genomics, 2018
[112] pLoc_bal-mAnimal: predict subcellular localization of animal proteins by balancing training dataset and PseAAC
Bioinformatics, 2018
[113] Predicting membrane protein types by incorporating a novel feature set into Chou's general PseAAC
Journal of Theoretical Biology, 2018
[114] iMethyl-STTNC: Identification of N6-methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences
Journal of Theoretical Biology, 2018
[115] Implications of newly identified brain eQTL genes and their interactors in Schizophrenia
Molecular Therapy - Nucleic Acids, 2018
[116] In silico analysis of Plasmodium falciparum CDPK5 protein through molecular modeling, docking and dynamics
Journal of Theoretical Biology, 2018
[117] Predicting membrane proteins and their types by extracting various sequence features into Chou's general PseAAC
Molecular Biology Reports, 2018
[118] iPro70-FMWin: identifying Sigma70 promoters using multiple windowing and minimal features
Molecular Genetics and Genomics, 2018
[119] Predicting lysine lipoylation sites using bi-profile bayes feature extraction and fuzzy support vector machine algorithm
Analytical Biochemistry, 2018
[120] Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou's PseAAC
Journal of Theoretical Biology, 2018
[121] Large-scale frequent stem pattern mining in RNA families
Journal of Theoretical Biology, 2018
[122] Characterize the difference between TMPRSS2-ERG and non-TMPRSS2-ERG fusion patients by clinical and biological characteristics in prostate cancer
Gene, 2018
[123] A Comprehensive In Silico Method to Study the QSTR of the Aconitine Alkaloids for Designing Novel Drugs
Molecules, 2018
[124] A machine learning approach for reliable prediction of amino acid interactions and its application in the directed evolution of enantioselective enzymes
Scientific Reports, 2018
[125] The Relationship Between DNA Methylation in Key Region and the Differential Expressions of Genes in Human Breast Tumor Tissue
2018
[126] iRNA-3typeA: Identifying Three Types of Modification at RNA's Adenosine Sites
Molecular Therapy - Nucleic Acids, 2018
[127] Prediction of HIV-1 and HIV-2 proteins by using Chou's pseudo amino acid compositions and different classifiers
Scientific Reports, 2018
[128] iMem-2LSAAC: A two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into chou's pseudo amino acid …
Journal of Theoretical Biology, 2018
[129] iRO-3wPseKNC: Identify DNA replication origins by three-window-based PseKNC.
Bioinformatics, 2018
[130] EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features
Journal of Theoretical Biology, 2018
[131] DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAAC
Journal of Theoretical Biology, 2018
[132] Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition
Journal of Theoretical Biology, 2018
[133] Joker: An algorithm to insert patterns into sequences for designing antimicrobial peptides antimicrobial peptides
Biochimica et Biophysica Acta (BBA) - General Subjects, 2018
[134] Prediction of DNase I hypersensitive sites in plant genome using multiple modes of pseudo components
Analytical Biochemistry, 2018
[135] Unveiling the Transient Protein-Protein Interactions that Regulate the Activity of Human Lemur Tyrosine Kinase-3 (LMTK3) Domain by Cyclin Dependent Kinase 5 …
Current Proteomics, 2018
[136] Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou's general PseAAC via Kullback-Leibler divergence
Journal of Theoretical Biology, 2018
[137] A proteome-wide systems toxicological approach deciphers the interaction network of chemotherapeutic drugs in the cardiovascular milieu
RSC Advances, 2018
[138] Electroactive Mg2+-Hydroxyapatite Nanostructured Networks against Drug-Resistance Bone Infection Strains
ACS Applied Materials & Interfaces, 2018
[139] Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile …
PLOS ONE, 2018
[140] Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines
Computer Methods and Programs in Biomedicine, 2018
[141] Analysis and prediction of presynaptic and postsynaptic neurotoxins by Chou's general pseudo amino acid composition and motif features
Journal of Theoretical Biology, 2018
[142] Accelerated search for perovskite materials with higher Curie temperature based on the machine learning methods
Computational Materials Science, 2018
[143] iEnhancer-EL: Identifying enhancers and their strength with ensemble learning approach
Bioinformatics, 2018
[144] LQTA-R: A new 3D-QSAR methodology applied to a set of DGAT1 inhibitors
Computational Biology and Chemistry, 2018
[145] nifPred: Proteome-wide identification and categorization of nitrogen-fixation proteins of diaztrophs based on composition-transition-distribution features using …
Frontiers in microbiology, 2018
[146] iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC
Bioinformatics, 2018
[147] Recognition of the long range enhancer-promoter interactions by further adding DNA structure properties and transcription factor binding motifs in human cell lines
Journal of Theoretical Biology, 2018
[148] Heterodimer binding scaffolds recognition via the analysis of kinetically hot residues
Pharmaceuticals, 2018
[149] Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC
Journal of Theoretical Biology, 2018
[150] iRSpot-PDI: Identification of recombination spots by incorporating dinucleotide property diversity information into Chou's pseudo components
Genomics, 2018
[151] Consistent prediction of GO protein localization
Scientific Reports, 2018
[152] Identification of preterm birth based on RQA analysis of electrohysterograms
Computer Methods and Programs in Biomedicine, 2018
[153] iRSpot-ADPM: Identify recombination spots by incorporating the associated dinucleotide product model into Chou's pseudo components.
Journal of Theoretical Biology, 2018
[154] RBSURFpred: Modeling Protein Accessible Surface Area in Real and Binary Space using Regularized and Optimized Regression
Journal of Theoretical Biology, 2018
[155] Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC
Journal of Theoretical Biology, 2018
[156] iPSW (2L)-PseKNC: A two-layer predictor for identifying promoters and their strength by hybrid features via pseudo K-tuple nucleotide composition
2018
[157] pLoc_bal-mPlant: Predict Subcellular Localization of Plant Proteins by General PseAAC and Balancing Training Dataset
2018
[158] Simulated protein thermal detection (SPTD) for enzyme thermostability study and an application example for pullulanase from Bacillus deramificans
2018
[159] Genome-wide analysis of H3K36me3 and its regulations to cancer-related genes expression in human cell lines
2018
[160] PhoglyStruct: Prediction of phosphoglycerylated lysine residues using structural properties of amino acids
2018
[161] iRSpot-DTS: Predict recombination spots by incorporating the dinucleotide-based spare-cross covariance information into Chou's pseudo components
2018
[162] Structural variability in the RLR-MAVS pathway and sensitive detection of viral RNAs.
2018
[163] iPhosY-PseAAC: identify phosphotyrosine sites by incorporating sequence statistical moments into PseAAC
2018
[164] pNitro-Tyr-PseAAC: Predict Nitrotyrosine Sites in Proteins by Incorporating Five Features into Chou's General PseAAC
2018
[165] Prediction of therapeutic peptides by incorporating q-Wiener index into Chou's general PseAAC
2017
[166] A novel alignment-free vector method to cluster protein sequences
2017
[167] BAMORF: A Novel Computational Method for Predicting the Extracellular Matrix Proteins
2017
[168] Highly accurate prediction of protein self-interactions by incorporating the average block and PSSM information into the general PseAAC
Journal of Theoretical Biology, 2017
[169] Discrimination of HIV-1 and HIV-2 Reverse Transcriptase Proteins Using Chou's PseAAC
Iranian Journal of Science and Technology, Transactions A: Science, 2017
[170] A Two-Layer Computational Model for Discrimination of Enhancer and Their Types Using Hybrid Features Pace of Pseudo K-Tuple Nucleotide Composition
Arabian Journal for Science and Engineering, 2017
[171] Optimal choice of k-mer in composition vector method for genome sequence comparison
Genomics, 2017
[172] Structural predictions for curli amyloid fibril subunits CsgA and CsgB
RSC Advances, 2017
[173] Ensemble learning for protein multiplex subcellular localization prediction based on weighted KNN with different features
Applied Intelligence, 2017
[174] pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC
Molecular BioSystems, 2017
[175] iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals
Oncotarget, 2017
[176] iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide composition
Oncotarget, 2017
[177] An unprecedented revolution in medicinal chemistry driven by the progress of biological science
Current Topics in Medicinal Chemistry, 2017
[178] pLoc-mVirus: predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC
Gene, 2017
[179] Prediction of the aquatic toxicity of aromatic compounds to tetrahymena pyriformis through support vector regression
Oncotarget, 2017
[180] pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC
Genomics, 2017
[181] Prediction of interface residue based on the features of residue interaction network
Journal of Theoretical Biology, 2017
[182] iRSpotH-TNCPseAAC: Identifying Recombination Spots in Human by Using Pseudo Trinucleotide Composition With an Ensemble of Support Vector Machine …
Letters in Organic Chemistry, 2017
[183] Sequence-based discrimination of protein-RNA interacting residues using a probabilistic approach
Journal of Theoretical Biology, 2017
[184] Extracting features from protein sequences to improve deep extreme learning machine for protein fold recognition
Journal of Theoretical Biology, 2017
[185] DrugECs: An ensemble system with feature subspaces for accurate drug-target interaction prediction
BioMed Research International, 2017
[186] Sequence based predictor for discrimination of Enhancer and their Types by applying general form of Chou's Trinucleotide Composition
Computer Methods and Programs in Biomedicine, 2017
[187] Pse-in-One 2.0: An Improved Package of Web Servers for Generating Various Modes of Pseudo Components of DNA, RNA, and Protein Sequences
2017
[188] Multi-label classifier based on histogram of gradients for predicting the anatomical therapeutic chemical class/classes of a given compound
Bioinformatics, 2017
[189] Prediction of metastasis in advanced colorectal carcinomas using CGH data
Journal of Theoretical Biology, 2017
[190] iRNA-2methyl: Identify RNA 2'-O-methylation Sites by Incorporating Sequence-Coupled Effects into General PseKNC and Ensemble Classifier
Medicinal Chemistry, 2017
[191] pLoc-mAnimal: predict subcellular localization of animal proteins with both single and multiple sites
Bioinformatics, 2017
[192] 2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications
Oncotarget, 2017
[193] iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC
Bioinformatics, 2017
[194] pLoc-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by deep gene ontology learning via general PseAAC
Genomics, 2017
[195] Prediction of lysine propionylation sites using biased SVM and incorporating four different sequence features into Chou's PseAAC
Journal of Molecular Graphics and Modelling, 2017
[196] Small molecular floribundiquinone B derived from medicinal plants inhibits acetylcholinesterase activity
Oncotarget, 2017
[197] Prediction of presynaptic and postsynaptic neurotoxins by combining various Chou's pseudo components
Scientific Reports, 2017
[198] Ikcr-pseens: Identify lysine crotonylation sites in histone proteins with pseudo components and ensemble classifier
Genomics, 2017
[199] Predict protein structural class by incorporating two different modes of evolutionary information into chou's general pseudo amino acid composition
Journal of Molecular Graphics and Modelling, 2017
[200] pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information
Bioinformatics, 2017
[201] Bi-PSSM: Position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins
Journal of Theoretical Biology, 2017
[202] Computational prediction of therapeutic peptides based on graph index
Journal of Biomedical Informatics, 2017
[203] Prediction subcellular localization of Gram-negative bacterial proteins by support vector machine using wavelet denoising and Chou's pseudo amino acid composition
Chemometrics and Intelligent Laboratory Systems, 2017
[204] An effective fault diagnosis approach based on optimal weighted least squares support vector machine
The Canadian Journal of Chemical Engineering, 2017
[205] 2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function
Molecular Therapy - Nucleic Acids, 2017
[206] Predicting lysine glycation sites using bi-profile bayes feature extraction
Computational Biology and Chemistry, 2017
[207] Ensemble Architecture for Prediction of Enzyme‐ligand Binding Residues Using Evolutionary Information
Molecular Informatics, 2017
[208] Recognition of long-range enhancer-promoter interactions by adding genomic signatures of segmented regulatory regions
Genomics, 2017
[209] mRNA 序列中回文密度对蛋白质折叠速率的影响
内蒙古师范大学学报:自然科学汉文版, 2016
[210] Improving the Prediction of Protein Structural Class for Low-Similarity Sequences by Incorporating Evolutionaryand Structural Information
2016
[211] Identification of thermophilic proteins by incorporating evolutionary and acid dissociation information into Chou's general pseudo amino acid composition
Journal of Theoretical Biology, 2016
[212] Predicting protein-protein interactions by weighted pseudo amino acid composition
International Journal of Data Mining and Bioinformatics, 2016
[213] Classify vertebrate hemoglobin proteins by incorporating the evolutionary information into the general PseAAC with the hybrid approach
Journal of Theoretical Biology, 2016
[214] DrugRPE: Random projection ensemble approach to drug-target interaction prediction
Neurocomputing, 2016
[215] Predicting Protein–Protein Interaction Sites Using Sequence Descriptors and Site Propensity of Neighboring Amino Acids
International Journal of Molecular Sciences, 2016
[216] iAFP-Ense: An Ensemble Classifier for Identifying Antifreeze Protein by Incorporating Grey Model and PSSM into PseAAC
The Journal of Membrane Biology, 2016
[217] iACP: a sequence-based tool for identifying anticancer peptides
Oncotarget, 2016
[218] Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix
Neurocomputing, 2016
[219] Protein fold recognition using HMM-HMM alignment and Dynamic Programming
Journal of Theoretical Biology, 2016
[220] Predicting lysine phosphoglycerylation with fuzzy SVM by incorporating k-spaced amino acid pairs into Chou׳ s general PseAAC
Journal of Theoretical Biology, 2016
[221] An In Silico Approach to Investigation of the Source of Controversial Interpretations about Phenotypic Results of Human AhR-gene G1661A Polymorphism
Journal of theoretical biology, 2016
[222] Identification of signal peptide sequences based on mean value matrix image
2016
[223] Improving the prediction of protein structural class for low-similarity sequences by incorporating evolutionary and structural information
2016
[224] A soft sensor for industrial melt index prediction based on evolutionary extreme learning machine
Chinese Journal of Chemical Engineering, 2016
[225] Identification of S-glutathionylation sites in species-specific proteins by incorporating five sequence-derived features into the general pseudo-amino acid composition
Journal of theoretical biology, 2016
[226] Identification of glucose-binding pockets in human serum albumin using support vector machine and molecular dynamics simulations
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016
[227] QSPR-Perturbation Models for the Prediction of B-Epitopes from Immune Epitope Database: A Potentially Valuable Route for Predicting “In Silico” New Optimal Peptide Sequences and/or Boundary Conditions for Vaccine Development
International Journal of Peptide Research and Therapeutics, 2016
[228] MOWGLI: prediction of protein–MannOse interacting residues With ensemble classifiers usinG evoLutionary Information
Journal of Biomolecular Structure and Dynamics, 2015
[229] 基于序列的 G 蛋白偶联受体-药物相互作用预测研究
计算机科学, 2015
[230] Some applications of nonlinear science methods and support vector machine methods to protein problems
Mini-Reviews in Organic Chemistry, 2015
[231] Recent Advances on Prediction of Protein Subcellular Localization
Mini-Reviews in Organic Chemistry, 2015
[232] Probabilistic expression of spatially varied amino acid dimers into general form of Chou׳ s pseudo amino acid composition for protein fold recognition
Journal of Theoretical Biology, 2015
[233] Molecular structures and structural dynamics of prion proteins and prions
Focus on Structural Biology book series, 2015
[234] Advancing the Accuracy of Protein Fold Recognition by Utilizing Profiles from Hidden Markov Models
2015
[235] A Novel Canonical Dual Global Optimization Computational Approach
Molecular Structures and Structural Dynamics of Prion Proteins and Prions, 2015
[236] Protein Subcellular Location Prediction Based on Pseudo Amino Acid Composition and PSI-Blast Profile
Journal of Computational and Theoretical Nanoscience, 2015
[237] Hologram QSAR Models of a Series of 6-Arylquinazolin-4-Amine Inhibitors of a New Alzheimer’s Disease Target: Dual Specificity Tyrosine-Phosphorylation-Regulated Kinase-1A Enzyme
International journal of molecular sciences, 2015
[238] Association analysis between the distributions of histone modifications and gene expression in the human embryonic stem cell
Gene, 2015
[239] A highly accurate protein structural class prediction approach using auto cross covariance transformation and recursive feature elimination
Computational Biology and Chemistry, 2015
[240] Characterization of proteins in S. cerevisiae with subcellular localizations
Molecular BioSystems, 2015
[241] Using Chou's Pseudo Amino Acid Composition and Machine Learning Method to Predict the Antiviral Peptides
Open Bioinformatics Journal, 2015
[242] Molecular Structures and Structural Dynamics of Prion Proteins and Prions: Mechanism Underlying the Resistance to Prion Diseases
2015
[243] iSuc-PseAAC: predicting lysine succinylation in proteins by incorporating peptide position-specific propensity
Scientific Reports, 2015
[244] PGlcS: Prediction of protein O-GlcNAcylation sites with multiple features and analysis
Journal of Theoretical Biology, 2015
[245] Hologram QSAR models of a series of 6-arylquinazolin-4-amine inhibitors of a new Alzheimer's disease target: dual specificity tyrosine-phosphorylation …
International Journal of Molecular Sciences, 2015
[246] In silico screening for identification of novel anti-malarial inhibitors by molecular docking, pharmacophore modeling and virtual screening
Medicinal Chemistry, 2015
[247] Using temperature effects to predict the interactions between two RNAs
Journal of Theoretical Biology, 2015
[248] A new technique for generating pathogenic barcodes in breast cancer susceptibility analysis
Journal of theoretical biology, 2015
[249] Identifying new targets in leukemogenesis using computational approaches
Saudi Journal of Biological Sciences, 2015
[250] iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach
Journal of Biomolecular Structure and Dynamics, 2015
[251] miRNA-dis: microRNA precursor identification based on distance structure status pairs
Molecular BioSystems, 2015
[252] Analysis of the multi-copied genes and the impact of the redundant protein coding sequences on gene annotation in prokaryotic genomes
Journal of theoretical biology, 2015
[253] A New Multi-label Classifier in Identifying the Functional Types of Human Membrane Proteins
The Journal of membrane biology, 2014
[254] Pseudo amino acid composition improves antifreeze protein prediction
2014
[255] Prediction of Protein Secondary Structure Using Feature Selection and Analysis Approach
Acta biotheoretica, 2014
[256] An effective haplotype assembly algorithm based on hypergraph partitioning
Journal of Theoretical Biology, 2014
[257] PseDNA‐Pro: DNA‐Binding Protein Identification by Combining Chou's PseAAC and Physicochemical Distance Transformation
Molecular Informatics, 2014
[258] Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping
Journal of theoretical biology, 2014
[259] iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels
BioMed Research International, 2014
[260] Sequence-specific flexibility organization of splicing flanking sequence and prediction of splice sites in the human genome
Chromosome Research, 2014
[261] Potential non homologous protein targets of mycobacterium tuberculosis H37Rv identified from protein–protein interaction network
Journal of theoretical biology, 2014
[262] iNitro-Tyr: Prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition
PloS one, 2014
[263] iDNA-Prot| dis: Identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition
PloS one, 2014
[264] R3P-Loc: A compact multi-label predictor using ridge regression and random projection for protein subcellular localization
Journal of theoretical biology, 2014
[265] Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach
Journal of Biomolecular Structure and Dynamics, 2014
[266] RETRACTED: Identifying halophilic proteins based on random forests with preprocessing of the pseudo-amino acid composition
Journal of theoretical biology, 2014
[267] Multi-Label Learning With Fuzzy Hypergraph Regularizition for Protein Subcellular Location Prediction
2014
[268] Signal peptide discrimination and cleavage site identification using SVM and NN
Computers in biology and medicine, 2014
[269] A QSPR-like model for multilocus genotype networks of Fasciola hepatica in Northwest Spain
Journal of theoretical biology, 2014
[270] TIBS: A web database to browse gene expression in irritable bowel syndrome
Journal of theoretical biology , 2014
[271] Statistical approach for lysosomal membrane proteins (LMPs) identification
Systems and Synthetic Biology, 2014
[272] iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition
BioMed Research International, 2014
[273] Constructing a linear QSAR for some metabolizable drugs by human or pig flavin-containing monooxygenases using some molecular features selected by a genetic algorithm trained SVM
Journal of theoretical biology, 2014
[274] A two-layer classification framework for protein fold recognition
Journal of theoretical biology, 2014
[275] Time series clustering by a robust autoregressive metric with application to air pollution
Chemometrics and Intelligent Laboratory Systems, 2014
[276] LECTINPred: web Server that Uses Complex Networks of Protein Structure for Prediction of Lectins with Potential Use as Cancer Biomarkers or in Parasite Vaccine Design
Molecular Informatics, 2014
[277] Toward a better understanding of structural divergences in proteins using different secondary structure assignment methods
Journal of Molecular Structure, 2014
[278] Prediction of Signal Peptide Cleavage Sites with Subsite‐Coupled and Template Matching Fusion Algorithm
Molecular Informatics , 2014
[279] Human Dopamine Receptors Interaction Network (DRIN): A systems biology perspective on topology, stability and functionality of the network
Journal of theoretical biology, 2014
[280] Gram-positive and Gram-negative Protein Subcellular Localization by Incorporating Evolutionary-based Descriptors into Chou's General PseAAC
Journal of theoretical biology , 2014
[281] A Computational Algorithm for Functional Clustering of Proteome Dynamics During Development
Current genomics , 2014
[282] Identification of cytokine via an improved genetic algorithm
Frontiers of Computer Science, 2014
[283] Prediction of Vanillin and Glutamate Productions in Yeast Using a Hybrid of Continuous Bees Algorithm and Flux Balance Analysis (CBAFBA)
Current Bioinformatics, 2014
[284] Predicting peroxidase subcellular location by hybridizing different descriptors of Chou'pseudo amino acid patterns
Analytical biochemistry, 2014
[285] Prediction of posttranslational modification sites from amino acid sequences with kernel methods
Journal of theoretical biology , 2014
[286] Neural network and SVM classifiers accurately predict lipid binding proteins, irrespective of sequence homology
Journal of theoretical biology, 2014
[287] iMethyl-PseAAC: Identification of Protein Methylation Sites via a Pseudo Amino Acid Composition Approach
BioMed Research International, 2014
[288] A protein structural classes prediction method based on PSI-BLAST profile
Journal of theoretical biology, 2014
[289] Predict protein structural class for low-similarity sequences by evolutionary difference information into the general form of Chou's pseudo amino acid composition
Journal of theoretical biology, 2014
[290] Prediction of protein structure classes by incorporating different protein descriptors into general Chou's pseudo amino acid composition
Journal of theoretical biology, 2014
[291] Screening drug target proteins based on sequence information
Journal of biomedical informatics, 2014
[292] Differential Bees Flux Balance Analysis with OptKnock for In Silico Microbial Strains Optimization
PloS one, 2014
[293] Human proteins characterization with subcellular localizations
Journal of theoretical biology, 2014
[294] Transmission of intra-cellular genetic information: A system proposal
Journal of theoretical biology, 2014
[295] Prediction of bacterial protein subcellular localization by incorporating various features into Chou's PseAAC and a backward feature selection approach
Biochimie, 2014
[296] iNR-Drug: predicting the interaction of drugs with nuclear receptors in cellular networking
International journal of molecular sciences , 2014
[297] Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou's general PseAAC and Support Vector Machine
Computer methods and programs in biomedicine, 2014
[298] iTIS-PseTNC: a sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition
Analytical biochemistry, 2014
[299] Predicting anticancer peptides with Chou′ s pseudo amino acid composition and investigating their mutagenicity via Ames test
Journal of theoretical biology, 2014
[300] Predicting DNA binding proteins using support vector machine with hybrid fractal features
Journal of theoretical biology, 2014
[301] A set of descriptors for identifying the protein–drug interaction in cellular networking
Journal of theoretical biology, 2014
[302] Predicting the protein solubility by integrating chaos games representation and entropy in information theory
Expert Systems with Applications, 2014
[303] Chou? s pseudo amino acid composition improves sequence-based antifreeze protein prediction
Journal of theoretical biology, 2014
[304] Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou's pseudo amino acid composition
Journal of theoretical biology, 2014
[305] A two-stage SVM method to predict membrane protein types by incorporating amino acid classifications and physicochemical properties into a general form of Chou's PseAAC
Journal of theoretical biology, 2014
[306] k-Partite cliques of protein interactions: A novel subgraph topology for functional coherence analysis on PPI networks
Journal of theoretical biology, 2014
[307] iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition
International journal of molecular sciences , 2014
[308] k-Partite cliques of protein interactions: A novel subgraph topology for functional coherence analysis on PPI networks
Journal of Theoretical Biology, 2014
[309] iDNA-Prot| dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced
2014
[310] iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid
2014
[311] Differential Bees Flux Balance Analysis with OptKnock for In Silico Microbial Strains
2014
[312] iDNA-Prot| dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid …
2014
[313] Enhancement Predicting Accuracy for Elastin-Like Polypeptides Temperature Transition by Back Propagation Neural Network
Protein and peptide letters, 2014
[314] mRNA 的二级结构对蛋白质折叠速率的影响
生物物理学报, 2014
[315] Identifying ion channel genes related to cardiomyopathy using a novel decision forest strategy
Molecular BioSystems, 2014
[316] Graphic mapping of protein-coding DNA sequence in four-dimensional space and its application
Journal of Computational and Theoretical Nanoscience, 2014
[317] Prediction of Lysosomal Membrane Proteins Using Machine Learning Techniques
2014
[318] Na\ve Bayes Classifier with Feature Selection to Identify Phage Virion Proteins
2013
[319] Theoretical and experimental biology in one—A symposium in honour of Professor Kuo-Chen Chou's 50th anniversary and Professor Richard Giegé's 40th …
2013
[320] Técnicas de ingeniería informática e inteligencia artificial para clasificación: aplicaciones para el descubrimiento de fármacos y dianas moleculares
2013
[321] Virus-ECC-mPLoc: a multi-label predictor for predicting the subcellular localization of virus proteins with both single and multiple sites based on a general form of Chou's pseudo amino acid composition
Protein and peptide letters, 2013
[322] Protein sequence comparison based on K-string dictionary
Gene, 2013
[323] Theoretical and experimental biology in one
2013
[324] A simple k-word interval method for phylogenetic analysis of DNA sequences
Journal of Theoretical Biology, 2013
[325] Alignment free comparison: k word voting model and its applications
Journal of Theoretical Biology, 2013
[326] Metallo-β-lactamases: structural features, antibiotic recognition, inhibition, and inhibitor design
Current topics in medicinal chemistry, 2013
[327] Use of multivariate chemometric algorithms on 1 H NMR data to assess a soluble fiber ( Plantago ovata husk) nutritional intervention
Chemometrics and Intelligent Laboratory Systems , 2013
[328] Linear regression model of short k-word: a similarity distance suitable for biological sequences with various lengths
Journal of theoretical biology, 2013
[329] Prediction of Methylation Sites Using the Composition of K-Spaced Amino Acid Pairs
Protein and peptide letters, 2013
[330] Predict Subcellular Locations of Singleplex and Multiplex Proteins by Semi-Supervised Learning and Dimension-Reducing General Mode of Chou's PseAAC
2013
[331] A Two-step Similarity-based Method for Prediction of Drug's Target Group
Protein and peptide letters, 2013
[332] A hybrid computational model for the effects of maspin on cancer cell dynamics
Journal of theoretical biology , 2013
[333] Locating apoptosis proteins by incorporating the signal peptide cleavage sites into the general form of Chou's Pseudo amino acid composition
International Journal of Quantum Chemistry , 2013
[334] Interconnection between the protein solubility and amino acid and dipeptide compositions
Protein and peptide letters, 2013
[335] iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins
PeerJ, 2013
[336] Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou’s pseudo amino acid composition
Journal of Theoretical Biology, 2013
[337] Predicting the Activity of Antimicrobial Peptides with Amino Acid Topological Information
Medicinal Chemistry, 2013
[338] Support vector machine with a Pearson VII function kernel for discriminating halophilic and non-halophilic proteins
Computational biology and chemistry, 2013
[339] Sucrose Hydrolytic Enzymes: Old Enzymes for New Uses as Biocatalysts for Medical Applications
Current topics in medicinal chemistry , 2013
[340] Comparison between the Repression Potency of siRNA Targeting the Coding Region and the 3′-Untranslated Region of mRNA
BioMed research international, 2013
[341] GOASVM: A subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition
Journal of Theoretical Biology, 2013
[342] A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition
Journal of theoretical biology, 2013
[343] Protein Remote Homology Detection by Combining Chou's Pseudo Amino Acid Composition and Profile‐Based Protein Representation
Molecular Informatics, 2013
[344] Using the concept of Chou's pseudo amino acid composition to predict protein solubility: An approach with entropies in information theory
Journal of theoretical biology, 2013
[345] Predicting subchloroplast locations of proteins based on the general form of Chou's pseudo amino acid composition: approached from optimal tripeptide composition
International Journal of Biomathematics , 2013
[346] Predicting protein subchloroplast locations with both single and multiple sites via three different modes of Chou's pseudo amino acid compositions
Journal of theoretical biology, 2013
[347] Characterization of structure–antioxidant activity relationship of peptides in free radical systems using QSAR models: Key sequence positions and their amino acid properties
Journal of theoretical biology, 2013
[348] Prediction of metabolic pathway using graph property, chemical functional group and chemical structural set
Current Bioinformatics, 2013
[349] A Multilabel Model Based on Chou's Pseudo–Amino Acid Composition for Identifying Membrane Proteins with Both Single and Multiple Functional Types
The Journal of membrane biology, 2013
[350] HIV-1 protease cleavage site prediction based on two-stage feature selection method
Protein and peptide letters , 2013
[351] Predicting acidic and alkaline enzymes by incorporating the average chemical shift and gene ontology informations into the general form of Chou's PseAAC
Process Biochemistry, 2013
[352] Stability of halophilic proteins: from dipeptide attributes to discrimination classifier
International journal of biological macromolecules, 2013
[353] Protein space: a natural method for realizing the nature of protein universe
Journal of theoretical biology , 2013
[354] A challenge for medicinal chemistry by the 17β-hydroxysteroid dehydrogenase superfamily: an integrated biological function and inhibition study
Current topics in medicinal chemistry , 2013
[355] Analysis of codon use features of stearoyl-acyl carrier protein desaturase gene in Camellia sinensis
Journal of theoretical biology, 2013
[356] Prediction of essential proteins in prokaryotes by incorporating various physico-chemical features into the general form of Chou's pseudo amino acid composition
Protein and peptide letters, 2013
[357] Predicting ion channel-drug interactions based on sequence-derived features and functional groups
Journal of Bionanoscience, 2013
[358] Prediction of Substrate-Enzyme-Product Interaction Based on Molecular Descriptors and Physicochemical Properties
BioMed research international , 2013
[359] Predicting the heats of combustion of polynitro arene, polynitro heteroarene, acyclic and cyclic nitramine, nitrate ester and nitroaliphatic compounds using bee algorithm and adaptive neuro-fuzzy inference system
Chemometrics and Intelligent Laboratory Systems , 2013
[360] Identification of antioxidants from sequence information using Naive Bayes
Computational and mathematical methods in medicine, 2013
[361] Naive Bayes classifier with feature selection to identify phage virion proteins
Computational and mathematical methods in medicine , 2013
[362] A soft sensor based on adaptive fuzzy neural network and support vector regression for industrial melt index prediction
Chemometrics and Intelligent Laboratory Systems, 2013
[363] Multilabel learning via random label selection for protein subcellular multilocations prediction
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2013
[364] Predict drug-protein interaction in cellular networking
Current topics in medicinal chemistry , 2013
[365] A novel ensemble and composite approach for classifying proteins based on Chou's pseudo amino acid composition
African Journal of Biotechnology, 2013
[366] A novel statistical measure for sequence comparison on the basis of k-word counts
Journal of theoretical biology, 2013
[367] Recent progresses in identifying nuclear receptors and their families
Current topics in medicinal chemistry , 2013
[368] Recent advances in predicting protein classification and their applications to drug development
Current topics in medicinal chemistry, 2013
[369] Protein motifs retrieval by SS terns occurrences
Pattern Recognition Letters, 2013
[370] Use of fast conformational sampling to improve the characterization of VEGF A–peptide interactions
Journal of theoretical biology, 2013
[371] An alignment-free method to find similarity among protein sequences via the general form of Chou's pseudo amino acid composition
SAR and QSAR in Environmental Research , 2013
[372] Alignment free comparison: k word voting model and its applications
Journal of theoretical biology, 2013
[373] Investigation Binding Patterns of Human Carboxylesterase I (hCES I) with Broad Substrates by MD Simulations
Current topics in medicinal chemistry, 2013
[374] Efficacy of function specific 3D-motifs in enzyme classification according to their EC-numbers
Journal of theoretical biology, 2013
[375] Unconventional Interaction Forces in Protein and Protein-ligand Systems and their Impacts to Drug Design
Current topics in medicinal chemistry , 2013
[376] The Prediction of Calpain Cleavage Sites with the mRMR and IFS Approaches
Mathematical Problems in Engineering , 2013
[377] Discriminating lysosomal membrane protein types using dynamic neural network
Journal of Biomolecular Structure and Dynamics ahead-of-print, 2013
[378] Recent Advances on QSAR-Based Profiling of Agonist and Antagonist A3 Adenosine Receptor Ligands
Current topics in medicinal chemistry , 2013
[379] Characterizing the Functional Similarity of Enzymes with High Co-Citation in Interaction Networks
Protein and peptide letters, 2013
[380] Metagenome Assembly Validation: Which Metagenome Contigs are Bona Fide?
Current Bioinformatics, 2013
[381] Using radial basis function on the general form of Chou's pseudo amino acid composition and PSSM to predict subcellular locations of proteins with both single and multiple sites
Biosystems, 2013
[382] A simple k-word interval method for phylogenetic analysis of DNA sequences
Journal of theoretical biology, 2013
[383] TRAINER: A General-Purpose Trainable Short Biosequence Classifer
Protein and peptide letters, 2013
[384] Predicting Protein Model Quality from Sequence Alignments by Support Vector Machines
J Proteomics Bioinform S, 2013
[385] Prediction of Protein Methylation Sites Using Conditional Random Field
Protein and peptide letters, 2013
[386] Engineering and analysis of protease fine specificity via site-directed mutagenesis
2013
[387] Using Cheminformatics for the Identification of Biological Functions of Small Molecules in Metabolic Pathway
Current topics in medicinal chemistry, 2013
[388] Theoretical and experimental biology in one—A symposium in honour of Professor Kuo-Chen Chou’s 50th anniversary and Professor Richard Giegé’s 40th anniversary of their scientific careers
Journal of Biomedical Science and Engineering, 2013
[389] Target network analysis of adiponectin, a multifaceted adipokine
Journal of cellular biochemistry, 2013
[390] PFP-RFSM: Protein fold prediction by using random forests and sequence motifs
Journal of Biomedical Science and Engineering, 2013
[391] New Markov–Shannon Entropy models to assess connectivity quality in complex networks: from molecular to cellular pathway, parasite–host, neural, industry, and legal–social networks
Journal of theoretical biology, 2012
[392] Using the improved position specific scoring matrix and ensemble learning method to predict drug-binding residues from protein sequences
Natural Science, 2012
[393] A Large-Scale Comparison of Computational Models on the Residue Flexibility for NMR-derived Proteins
Protein and peptide letters, 2012
[394] Relationships of mRNA-protein secondary structures in the human β-globin gene HBB and four variants
Chinese Science Bulletin , 2012
[395] Interrogating noise in protein sequences from the perspective of protein–protein interactions prediction
Journal of theoretical biology, 2012
[396] Elman RNN based classification of proteins sequences on account of their mutual information
Journal of theoretical biology, 2012
[397] Differential Phosphoproteome Analysis of K562 Cells Exposed to 3'-Azido-3'-Deoxythymidine (AZT)
Current Proteomics, 2012
[398] Recent progress on bioinformatics, functional genomics, and metabolomics research of cytochrome P450 and its impact on drug discovery
Current topics in medicinal chemistry, 2012
[399] PredSulSite: Prediction of protein tyrosine sulfation sites with multiple features and analysis
Analytical biochemistry , 2012
[400] Sequence-dependent prediction of recombination hotspots in Saccharomyces cerevisiae
Journal of theoretical biology, 2012
[401] Incorporating Secondary Features into the General form of Chou's PseAAC for Predicting Protein Structural Class
Protein and peptide letters, 2012
[402] Prostate cancer with variants in CYP17 and UGT2B17 genes: A meta-analysis
Protein and peptide letters, 2012
[403] Predicting Viral Protein Subcellular Localization with Chou's Pseudo Amino Acid Composition and Imbalance-Weighted Multi-Label K-Nearest Neighbor Algorithm
Protein and peptide letters, 2012
[404] Automatic seizure detection based on star graph topological indices
Journal of neuroscience methods , 2012
[405] Comprehensive comparative analysis and identification of RNA-binding protein domains: Multi-class classification and feature selection
Journal of theoretical biology, 2012
[406] CRYSpred: accurate sequence-based protein crystallization propensity prediction using sequence-derived structural characteristics
Protein and peptide letters, 2012
[407] Analysis of metabolic pathway using hybrid properties
Protein and peptide letters, 2012
[408] Analysis on folding of misgurin using two‐dimensional HP model
Proteins: Structure, Function, and Bioinformatics, 2012
[409] SOMEViz: a web service for site of metabolism estimating and visualizing
Protein and peptide letters, 2012
[410] Predicting deleterious non-synonymous single nucleotide polymorphisms in signal peptides based on hybrid sequence attributes
Computational biology and chemistry, 2012
[411] SVM prediction of ligand-binding sites in bacterial lipoproteins employing shape and physio-chemical descriptors
Protein and peptide letters , 2012
[412] Prediction of human major histocompatibility complex class II binding peptides by continuous kernel discrimination method
Artificial intelligence in medicine, 2012
[413] Recent Advances in Predicting G-Protein Coupled Receptor Classification
Current Bioinformatics, 2012
[414] A feature extraction Q3 technique
A Sharma, J Lyons, A Dehzangi, KK Paliwal - core.kmi.open.ac.uk, 2012
[415] Annotating the protein-RNA interaction sites in proteins using evolutionary information and protein backbone structure
Journal of theoretical biology, 2012
[416] Predicting gram-positive bacterial protein subcellular localization based on localization motifs
Journal of theoretical biology, 2012
[417] RFCRYS: Sequence-based protein crystallization propensity prediction by means of random forest
Journal of theoretical biology, 2012
[418] PSCL: Predicting protein subcellular localization based on optimal functional domains
Protein and peptide letters , 2012
[419] Generation of pharmacophore and atom based 3D-QSAR model of novel isoquinolin-1-one and quinazolin-4-one-type inhibitors of TNFα
Medicinal Chemistry, 2012
[420] Prediction of protein–protein interaction sites using patch-based residue characterization
Journal of theoretical biology, 2012
[421] Molecular dynamics simulations of CYP2E1
Medicinal Chemistry, 2012
[422] Identification of voltage-gated potassium channel subfamilies from sequence information using support vector machine
Computers in biology and medicine, 2012
[423] PLMLA: prediction of lysine methylation and lysine acetylation by combining multiple features
Mol. BioSyst., 2012
[424] Identify DNA-binding proteins with optimal Chou's amino acid composition
Protein and peptide letters, 2012
[425] Prediction of human genes' regulatory functions based on proteinprotein interaction network
Protein and peptide letters, 2012
[426] Predicting the metabolic pathways of small molecules based on their physicochemical properties
Protein and peptide letters, 2012
[427] Prediction of flavin mono-nucleotide binding sites using modified PSSM profile and ensemble support vector machine
Computers in biology and medicine, 2012
[428] Alignment free comparison: Similarity distribution between the DNA primary sequences based on the shortest absent word
Journal of theoretical biology, 2012
[429] LIBP-Pred: web server for lipid binding proteins using structural network parameters; PDB mining of human cancer biomarkers and drug targets in parasites and bacteria
Molecular BioSystems , 2012
[430] Predicting protein fold types by the general form of Chou's pseudo amino acid composition: approached from optimal feature extractions
Protein and peptide letters, 2012
[431] Naïve Bayes QSDR classification based on spiral-graph Shannon entropies for protein biomarkers in human colon cancer
Molecular BioSystems, 2012
[432] Predicting protein structural class by incorporating patterns of over-represented k-mers into the general form of Chou's PseAAC
Protein and peptide letters , 2012
[433] Identification of amino acid propensities that are strong determinants of linear B-cell epitope using neural networks
PloS one, 2012
[434] A multi-label predictor for identifying the subcellular locations of singleplex and multiplex eukaryotic proteins
PloS one, 2012
[435] Predicting protein solubility by the general form of Chou's pseudo amino acid composition: approached from chaos game representation and fractal dimension
Protein and peptide letters, 2012
[436] Prediction of membrane proteins using split amino acid and ensemble classification
Amino acids, 2012
[437] ProClusEnsem: Predicting membrane protein types by fusing different modes of pseudo amino acid composition
Computers in biology and medicine , 2012
[438] Imbalanced multi-modal multi-label learning for subcellular localization prediction of human proteins with both single and multiple sites
PloS one, 2012
[439] Predict mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou's pseudo amino acid composition
Journal of theoretical biology, 2012
[440] MemHyb: Predicting membrane protein types by hybridizing SAAC and PSSM
Journal of theoretical biology, 2012
[441] Predicting protein submitochondria locations by combining different descriptors into the general form of Chou's pseudo amino acid composition
Amino Acids, 2012
[442] Wavelet images and Chou's pseudo amino acid composition for protein classification
Amino Acids, 2012
[443] 人类β 珠蛋白基因HBB 及其突变体的mRNA-蛋白质二级结构分析
科学通报, 2012
[444] Predicting protein-protein interactions by combing various sequence-derived features into the general form of chou's pseudo amino acid composition
Protein and peptide letters, 2012
[445] Enhancing membrane protein subcellular localization prediction by parallel fusion of multi-view features
NanoBioscience, IEEE Transactions on, 2012
[446] iLoc-Gpos: A multi-layer classifier for predicting the subcellular localization of singleplex and multiplex gram-positive bacterial proteins
Protein and peptide letters, 2012
[447] Dual-layer wavelet SVM for predicting protein structural class via the general form of Chou's pseudo amino acid composition
Protein and peptide letters, 2012
[448] Prediction of protein subcellular multi-localization based on the general form of Chou's pseudo amino acid composition
Protein and peptide letters , 2012
[449] Identifying protein quaternary structural attributes by incorporating physicochemical properties into the general form of Chou's PseAAC via discrete wavelet transform
Mol. BioSyst., 2012
[450] Multi-kernel transfer learning based on Chou's PseAAC formulation for protein submitochondria localization
Journal of Theoretical Biology, 2012
[451] Discriminating outer membrane proteins with fuzzy K-nearest neighbor algorithms based on the general form of Chou's PseAAC
Protein and peptide letters, 2012
[452] Identifying bacterial virulent proteins by fusing a set of classifiers based on variants of Chou's pseudo amino acid composition and on evolutionary information
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012
[453] SCYPPred: A Web-Based Predictor of SNPs for Human Cytochrome P450
Protein and peptide letters, 2012
[454] A pharmacophore model specific to active site of CYP1A2 with a novel molecular modeling explorer and CoMFA
Medicinal Chemistry, 2012
[455] Prediction of nicotinamide adenine dinucleotide interacting sites based on ensemble support vector machine
Protein and peptide letters, 2012
[456] A new hybrid fractal algorithm for predicting thermophilic nucleotide sequences
Journal of theoretical biology, 2012
[457] Machine learning study of Classifiers trained with Biophysiochemical properties of amino acids to predict fibril forming peptide motifs
Protein and peptide letters, 2012
[458] Proteome-wide inference of human endophilin 1-binding peptides
Protein and peptide letters, 2012
[459] Predicting the Classification of Transcription Factors by Incorporating their Binding Site Properties into a Novel Mode of Chou's Pseudo Amino Acid Composition
Protein and peptide letters, 2012
[460] MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM
Journal of Theoretical Biology, 2012
[461] LIBP-Pred: web server for lipid binding proteins using structural network parameters; PDB mining of human cancer biomarkers and drug targets in parasites and …
2012
[462] Identifying GPCRs and their types with Chou's pseudo amino acid composition: An approach from multi-scale energy representation and position specific scoring matrix
Protein and Peptide Letters, 2012
[463] Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning
Journal of Theoretical Biology, 2012
[464] Identify GPCRs and their types with Chou’s pseudo amino acid composition: an approach from multi-scale energy representation and position specific scoring matrix
Protein and Peptide Letters, 2012
[465] Using pseudo amino acid composition to predict protease families by incorporating a series of protein biological features
Protein and Peptide Letters, 2011
[466] The structural determinations of the leucine zipper coiled-coil domains of the cGMP-dependent protein kinase Iα and its interaction with the myosin binding subunit of the myosin light chains phosphase
Protein and peptide letters, 2011
[467] In vitro transcriptomic prediction of hepatotoxicity for early drug discovery
Journal of Theoretical Biology, 2011
[468] A Multi-Label Classifier for Predicting the Subcellular Localization of Gram-Negative Bacterial Proteins with Both Single
PloS one, 2011
[469] CE-PLoc: an ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition
Computational Biology and Chemistry, 2011
[470] Disease embryo development network reveals the relationship between disease genes and embryo development genes
Journal of theoretical biology , 2011
[471] A theoretical and numerical multiscale framework for the analysis of pattern formation in protein crystal engineering
International Journal for Multiscale Computational Engineering, 2011
[472] A Novel Method to Predict Protein-Protein Interactions Based on the Information of Protein-Protein Interaction Networks and Protein Sequence
Protein and peptide letters, 2011
[473] Improved sequence-based prediction of strand residues
Journal of bioinformatics and computational biology , 2011
[474] Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition
Journal of theoretical biology, 2011
[475] Studies on the rules of β-strand alignment in a protein β-sheet structure
Journal of theoretical biology, 2011
[476] Supersecondary structure prediction using Chou's pseudo amino acid composition
Journal of computational chemistry, 2011
[477] Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
Journal of Theoretical Biology, 2011
[478] Quat-2L: a web-server for predicting protein quaternary structural attributes
Molecular diversity, 2011
[479] Gene ontology based transfer learning for protein subcellular localization
BMC bioinformatics, 2011
[480] Identify Golgi protein types with modified mahalanobis discriminant algorithm and pseudo amino acid composition
Protein and peptide letters , 2011
[481] Predicting protein folding rates using the concept of Chou's pseudo amino acid composition
Journal of computational chemistry, 2011
[482] Identification of potent EGFR inhibitors from TCM Database@ Taiwan
PLoS computational biology , 2011
[483] Some remarks on protein attribute prediction and pseudo amino acid composition
Journal of theoretical biology, 2011
[484] Feature importance analysis in guide strand identification of microRNAs
Computational biology and chemistry , 2011
[485] Roles of L5-7 Loop in the Structure and Chaperone Function of SsHSP14. 1
Protein and peptide letters , 2011
[486] AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties
Journal of Theoretical Biology , 2011
[487] A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites
PloS one, 2011
[488] GPCR-2L: Predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions
Molecular Biosystems, 2011
[489] Two-intermediate model to characterize the structure of fast-folding proteins
Journal of theoretical biology, 2011
[490] CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition
Computational biology and chemistry, 2011
[491] Multitask learning for protein subcellular location prediction
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) , 2011
[492] Using random forest algorithm to predict β-hairpin motifs
Protein and peptide letters, 2011
[493] Identify submitochondria and subchloroplast locations with pseudo amino acid composition: approach from the strategy of discrete wavelet transform feature extraction
Biochimica et Biophysica Acta (BBA)-Molecular Cell Research, 2011
[494] OligoPred: A web-server for predicting homo-oligomeric proteins by incorporating discrete wavelet transform into Chou's pseudo amino acid composition
Journal of Molecular Graphics and Modelling, 2011
[495] Using a novel AdaBoost algorithm and Chou's pseudo amino acid composition for predicting protein subcellular localization
Protein and peptide letters, 2011
[496] An efficient support vector machine approach for identifying protein S-nitrosylation sites
Protein and peptide letters, 2011
[497] Prediction of thermophilic protein with pseudo amino acid composition: an approach from combined feature selection and reduction
Protein and peptide letters, 2011
[498] Improved prediction of palmitoylation sites using PWMs and SVM
Protein and peptide letters, 2011
[499] Predicting protein subcellular localization by pseudo amino acid composition with a segment-weighted and features-combined approach
Protein and peptide letters , 2011
[500] An improved profile-level domain linker propensity index for protein domain boundary prediction.
Protein and peptide letters, 2011
[501] Cellular automata and its applications in protein bioinformatics
Current Protein and Peptide Science, 2011
[502] ifc2: an integrated web-server for improved prediction of protein structural class, fold type, and secondary structure content
Amino acids, 2011
[503] Prediction of rat protein subcellular localization with pseudo amino acid composition based on multiple sequential features
Protein and peptide letters, 2011
[504] Prediction of Michaelis-Menten constant of beta-glucosidases using nitrophenyl-beta-D-glucopyranoside as substrate
Protein and peptide letters,