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[1] Quantitative Structure-activity Relationship of Acetylcholinesterase Inhibitors based on mRMR Combined with Support Vector Regression
2019
[2] Docking analysis of hexanoic acid and quercetin with seven domains of polyketide synthase A provided insight into quercetin-mediated aflatoxin biosynthesis …
2019
[3] Bioimage-based Prediction of Protein Subcellular Location in Human Tissue with Ensemble Features and Deep Networks
2019
[4] Tensor Algebra-based Geometrical (3D) Biomacro-Molecular Descriptors for Protein Research: Theory, Applications and Comparison with other Methods
2019
[5] iCrotoK-PseAAC: Identify lysine crotonylation sites by blending position relative statistical features according to the Chou's 5-step rule
2019
[6] pNitro-Tyr-PseAAC: Predict Nitrotyrosine Sites in Proteins by Incorporating Five Features into Chou's General PseAAC
2018
[7] Evaluation of Proteins Involved in Germination of Toxigenic Aspergillus Flavus Conidia and Studies on Phytochemicals as Anti-Aflatoxigenic Agents
2018
[8] iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC
Genomics, 2018
[9] Using Chou's general PseAAC to analyze the evolutionary relationship of receptor associated proteins (RAP) with various folding patterns of protein domains
Journal of Theoretical Biology, 2018
[10] Recent studies of mitochondrial slc25: Integration of experimental and computational approaches
Current Protein and Peptide Science, 2018
[11] iPhosT-PseAAC: Identify phosphothreonine sites by incorporating sequence statistical moments into PseAAC
Analytical Biochemistry, 2018
[12] Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC
Journal of Theoretical Biology, 2018
[13] Computational prediction of sigma-54 promoters in bacterial genomes by integrating motif finding and machine learning strategies
2018
[14] Detecting Succinylation sites from protein sequences using ensemble support vector machine
2018
[15] A Novel Hybrid Sequence-Based Model for Identifying Anticancer Peptides
Genes, 2018
[16] Solitons: A Cutting-Edge Scientific Proposal Explaining the Mechanisms of Acupuntural Action
2018
[17] pLoc_bal-mGpos: Predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC
Genomics, 2018
[18] iPromoter-FSEn: Identification of bacterial σ70 promoter sequences using feature subspace based ensemble classifier
Genomics, 2018
[19] Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition
Journal of Theoretical Biology, 2018
[20] The Relationship Between DNA Methylation in Key Region and the Differential Expressions of Genes in Human Breast Tumor Tissue
2018
[21] Characterization of proteins in different subcellular localizations for Escherichia coli K12
Genomics, 2018
[22] Identification of Bacterial Sigma 70 Promoter Sequences Using Feature Subspace Based Ensemble Classifier
2018
[23] Identification of DNA-Binding Proteins via a Voting Strategy
Current Proteomics, 2018
[24] A novel alignment-free vector method to cluster protein sequences
Journal of Theoretical Biology, 2017
[25] Multi‐iPPseEvo: A Multi‐label Classifier for Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into Chou′ s General PseAAC via Grey System Theory
Molecular informatics, 2017
[26] 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
[27] MicroRNA precursors identification using reduced and hybrid features
Molecular BioSystems, 2017
[28] 2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function
Molecular Therapy - Nucleic Acids, 2017
[29] 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
[30] iPGK-PseAAC: identify lysine phosphoglycerylation sites in proteins by incorporating four different tiers of amino acid pairwise coupling information into the general …
Medicinal Chemistry, 2017
[31] An unprecedented revolution in medicinal chemistry driven by the progress of biological science
Current Topics in Medicinal Chemistry, 2017
[32] iRNA-2methyl: Identify RNA 2'-O-methylation Sites by Incorporating Sequence-Coupled Effects into General PseKNC and Ensemble Classifier
Medicinal Chemistry, 2017
[33] pLoc-mGpos: incorporate key gene ontology information into general PseAAC for predicting subcellular localization of Gram-positive bacterial proteins
2017
[34] Microbial routes to (2R, 3R)-2, 3-butanediol: recent advances and future prospects
Current Topics in Medicinal Chemistry, 2017
[35] pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information
Bioinformatics, 2017
[36] Bi-PSSM: Position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins
Journal of Theoretical Biology, 2017
[37] Identification of microRNA precursors using reduced and hybrid features
Molecular BioSystems, 2017
[38] An Effective Feature Extraction Method on Protein Secondary Structure Class Prediction
Journal of Bionanoscience, 2017
[39] Impacts of Computational Biology to Medicinal Chemistry
Medicinal Chemistry, 2017
[40] OOgenesis_Pred: A sequence-based method for predicting oogenesis proteins by six different modes of Chou's pseudo amino acid composition
Journal of Theoretical Biology, 2017
[41] Sequence-based discrimination of protein-RNA interacting residues using a probabilistic approach
Journal of Theoretical Biology, 2017
[42] Identification of potential CCR5 inhibitors through pharmacophore-based virtual screening, molecular dynamics simulation and binding free energy analysis
Molecular BioSystems, 2016
[43] Analysis and comparison of lignin peroxidases between fungi and bacteria using three different modes of Chou's general pseudo amino acid composition
Journal of Theoretical Biology, 2016
[44] Classify vertebrate hemoglobin proteins by incorporating the evolutionary information into the general PseAAC with the hybrid approach
Journal of Theoretical Biology, 2016
[45] iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC
Oncotarget., 2016
[46] iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier
Oncotarget, 2016
[47] iPTM-mLys: identifying multiple lysine PTM sites and their different types
2016
[48] “iSS-Hyb-mRMR”: Identification of splicing sites using hybrid space of pseudo trinucleotide and pseudo tetranucleotide composition
Computer Methods and Programs in Biomedicine, 2016
[49] pSumo-CD: Predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC
2016
[50] Protein fold recognition using HMM–HMM alignment and dynamic programming
Journal of Theoretical Biology, 2016
[51] iPhos‐PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory
Molecular Informatics, 2016
[52] ProFold: Protein Fold Classification with Additional Structural Features and a Novel Ensemble Classifier
BioMed Research International, 2016
[53] An unusual chimeric amylosucrase generated by domain-swapping mutagenesis
Enzyme and Microbial Technology, 2016
[54] An estimator for local analysis of genome based on the minimal absent word
Journal of Theoretical Biology, 2016
[55] Identification of glucose-binding pockets in human serum albumin using support vector machine and molecular dynamics simulations
2016
[56] iNuc-STNC: a sequence-based predictor for identification of nucleosome positioning in genomes by extending the concept of SAAC and Chou's PseAAC
Molecular BioSystems, 2016
[57] Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix
Neurocomputing, 2016
[58] Predicting lysine phosphoglycerylation with fuzzy SVM by incorporating k-spaced amino acid pairs into Chou׳ s general PseAAC
Journal of Theoretical Biology, 2016
[59] iACP: a sequence-based tool for identifying anticancer peptides
Oncotarget, 2016
[60] iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC
Oncotarget, 2016
[61] Recent Progress in Predicting Posttranslational Modification Sites in Proteins
Current topics in medicinal chemistry, 2016
[62] Perspectives in Medicinal Chemistry.
Current topics in medicinal chemistry, 2016
[63] Modulation of cytokine network in the comorbidity of schizophrenia and tuberculosis
Current topics in medicinal chemistry, 2016
[64] In silico identification of putative bifunctional Plk1 inhibitors by integrative virtual screening and structural dynamics approach
Journal of theoretical biology, 2016
[65] ProTSAV: A protein tertiary structure analysis and validation server
Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics, 2016
[66] Antithrombin, an Important Inhibitor in Blood Clots
Current topics in medicinal chemistry, 2016
[67] Association analysis between the distributions of histone modifications and gene expression in the human embryonic stem cell
Gene, 2016
[68] iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition
Oncotarget., 2016
[69] OP-Triplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features
Journal of bioinformatics and computational biology, 2016
[70] Characteristics of Low-Frequency Molecular Phonon Modes Studied by THz Spectroscopy and Solid-State ab Initio Theory: Polymorphs I and III of Diflunisal
The Journal of Physical Chemistry B, 2016
[71] iPPBS-Opt: a sequence-based ensemble classifier for identifying protein-protein binding sites by optimizing imbalanced training datasets
Molecules, 2016
[72] pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
Journal of Theoretical Biology, 2016
[73] iRNA-PseU: Identifying RNA pseudouridine sites
Molecular Therapy - Nucleic Acids, 2016
[74] pSumo-CD: Predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating...
2016
[75] Association of EGF rs4444903 and XPD rs13181 polymorphisms with cutaneous melanoma in Caucasians
Medicinal Chemistry, 2015
[76] To appear in: Journal of Theoretical Biology
2015
[77] MOWGLI: prediction of protein-MannOse interacting residues With ensemble classifiers usinG evoLutionary Information
Journal of Biomolecular Structure and Dynamics, 2015
[78] Recent Development of Peptide Drugs and Advance on Theory and Methodology of Peptide Inhibitor Design
Medicinal Chemistry, 2015
[79] Editorial: current progress in structural bioinformatics of protein-biomolecule interactions.
Medicinal chemistry (Shāriqah (United Arab Emirates)), 2015
[80] iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset
Analytical Biochemistry, 2015
[81] Prediction of Nucleotide Binding Peptides Using Star Graph Topological Indices
Molecular Informatics, 2015
[82] iLM-2L: A two-level predictor for identifying protein lysine methylation sites and their methylation degrees by incorporating K-gap amino acid pairs into Chou׳ s general PseAAC
Journal of Theoretical Biology, 2015
[83] Impact of I30T and I30M substitution in MPZ gene associated with Dejerine–Sottas syndrome type B (DSSB): A molecular modeling and dynamics
Journal of theoretical biology, 2015
[84] Some Remarks on Prediction of Protein-Protein Interaction with Machine Learning
Medicinal Chemistry, 2015
[85] Modelling the molecular mechanism of protein–protein interactions and their inhibition: CypD–p53 case study
Molecular diversity, 2015
[86] Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences
Molecular BioSystems, 2015
[87] repRNA: a web server for generating various feature vectors of RNA sequences
Molecular Genetics and Genomics, 2015
[88] Impacts of bioinformatics to medicinal chemistry
Medicinal Chemistry, 2015
[89] Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition
Journal of Biomolecular Structure and Dynamics, 2015
[90] QSAR prediction of HIV-1 protease inhibitory activities using docking derived molecular descriptors
Journal of theoretical biology, 2015
[91] Accurate prediction of protein structural classes by incorporating PSSS and PSSM into Chou's general PseAAC
Chemometrics and Intelligent Laboratory Systems, 2015
[92] current progress in structural bioinformatics of protein-biomolecule interactions.
Medicinal chemistry (Shariqah (United Arab Emirates)), 2015
[93] Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model
Journal of theoretical biology,Elsevier, 2015
[94] A two-layer classification framework for protein fold recognition
Journal of theoretical biology,Elsevier, 2015
[95] Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou? s general PseAAC
Journal of theoretical biology, 2015
[96] Using temperature effects to predict the interactions between two RNAs
Journal of theoretical biology, 2015
[97] 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
[98] Novel 3D bio-macromolecular bilinear descriptors for protein science: Predicting protein structural classes
Journal of theoretical biology, 2015
[99] iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
Journal of theoretical biology, 2015
[100] Thermostable chitinase II from Thermomyces lanuginosus SSBP: Cloning, structure prediction and molecular dynamics simulations
Journal of theoretical biology, 2015
[101] Laplacian Dynamics with Synthesis and Degradation
Bulletin of mathematical biology, 2015
[102] A high performance prediction of HPV genotypes by Chaos game representation and singular value decomposition
BMC bioinformatics, 2015
[103] Editorial (Thematic Issue: Current Progress in Structural Bioinformatics of Protein-Biomolecule Interactions)
Medicinal Chemistry, 2015
[104] iDNA-Methyl: Identifying DNA methylation sites via pseudo trinucleotide composition
Analytical biochemistry, 2015
[105] Identification of real microRNA precursors with a pseudo structure status composition approach
PloS one, 2015
[106] iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach
Journal of Biomolecular Structure and Dynamics, 2015
[107] 基于深度学习的蛋白质二级结构预测
计算机仿真, 2015
[108] Comparative genomics study of Salmonella Typhimurium LT2 for the identification of putative therapeutic candidates
Journal of theoretical biology, 2015
[109] A comparative study of structural and conformational properties of casein kinase-1 isoforms: Insights from molecular dynamics and principal component analysis
Journal of theoretical biology, 2015
[110] Protein remote homology detection by combining Chou's distance-pair pseudo amino acid composition and principal component analysis
Molecular Genetics and Genomics, 2015
[111] Using Chou's Pseudo Amino Acid Composition and Machine Learning Method to Predict the Antiviral Peptides
Open Bioinformatics Journal, 2015
[112] Enhancement Predicting Accuracy for Elastin-Like Polypeptides Temperature Transition by Back Propagation Neural Network
Protein and peptide letters, 2014
[113] Terahertz spectroscopy and solid-state density functional theory calculation of anthracene: Effect of dispersion force on the vibrational modes
The Journal of chemical physics, 2014
[114] Harnessing catalysis to enhance scanning probe nanolithography
Nanoscale, 2014
[115] Time series clustering by a robust autoregressive metric with application to air pollution
Chemometrics and Intelligent Laboratory Systems, 2014
[116] 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
[117] Multi-Label Learning With Fuzzy Hypergraph Regularizition for Protein Subcellular Location Prediction
NanoBioscience, IEEE Transactions on (Volume:13,Issue: 4) , 2014
[118] Apolipoprotein E Gene Variants of Alzheimer's Disease and Vascular Dementia Patients in a Community Population of Nanking
Medicinal Chemistry, 2014
[119] A QSPR-like model for multilocus genotype networks of Fasciola hepatica in Northwest Spain
Journal of theoretical biology, 2014
[120] Research/Review: Insights into the Mutation-Induced Dysfunction of Arachidonic Acid Metabolism from Modeling of Human CYP2J2
Current drug metabolism, 2014
[121] Prediction of Vanillin and Glutamate Productions in Yeast Using a Hybrid of Continuous Bees Algorithm and Flux Balance Analysis (CBAFBA)
Current Bioinformatics, 2014
[122] An effective haplotype assembly algorithm based on hypergraph partitioning
Journal of Theoretical Biology,Elsevier, 2014
[123] Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping
Journal of theoretical biology, 2014
[124] iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels
BioMed Research International, 2014
[125] Sequence-specific flexibility organization of splicing flanking sequence and prediction of splice sites in the human genome
Chromosome Research,Springer, 2014
[126] Molecular modeling, simulation and virtual screening of ribosomal phosphoprotein P1 from Plasmodium falciparum
Journal of theoretical biology, 2014
[127] Research/Review: Structure and Linkage Disequilibrium Analysis of Adamantane Resistant Mutations in Influenza Virus M2 Proton Channel
Current drug metabolism, 2014
[128] iDrug-Target: Predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach
Journal of Biomolecular Structure and Dynamics,just-accepted, 2014
[129] iUbiq-Lys: prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a gray system model
Journal of Biomolecular Structure and Dynamics,ahead-of-print, 2014
[130] Chou? s pseudo amino acid composition improves sequence-based antifreeze protein prediction
Journal of theoretical biology,Elsevier, 2014
[131] A set of descriptors for identifying the protein–drug interaction in cellular networking
Journal of theoretical biology,Elsevier, 2014
[132] Prediction of protein structure classes by incorporating different protein descriptors into general Chou's pseudo amino acid composition
Journal of theoretical biology,Elsevier, 2014
[133] 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,ahead-of-print, 2014
[134] Molecular Science for Drug Development and Biomedicine
International journal of molecular sciences, 2014
[135] SAHA-based novel HDAC inhibitor design by core hopping method
Journal of Molecular Graphics and Modelling, 2014
[136] Transmission of intra-cellular genetic information: A system proposal
Journal of theoretical biology,Elsevier, 2014
[137] Screening drug target proteins based on sequence information
Journal of biomedical informatics,Elsevier, 2014
[138] Communities in the iron superoxide dismutase amino acid network
Journal of theoretical biology,Elsevier, 2014
[139] A Multi-label Classifier for Prediction Membrane Protein Functional Types in Animal
The Journal of membrane biology,Springer, 2014
[140] Protein submitochondria localization from integrated sequence repesentation and SVM-based backward feature extraction
Mol. BioSyst., 2014
[141] Human proteins characterization with subcellular localizations
Journal of theoretical biology,Elsevier, 2014
[142] iMethyl-PseAAC: Identification of Protein Methylation Sites via a Pseudo Amino Acid Composition Approach
BioMed Research International,Hindawi Publishing Corporation, 2014
[143] A protein structural classes prediction method based on PSI-BLAST profile
Journal of theoretical biology,Elsevier, 2014
[144] Analytical Equilibrium Solutions of Biochemical Systems with Synthesis and Degradation
arXiv preprint arXiv:1404.6477, 2014
[145] 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,Elsevier, 2014
[146] Neural network and SVM classifiers accurately predict lipid binding proteins, irrespective of sequence homology
Journal of theoretical biology,Elsevier, 2014
[147] iTIS-PseTNC: a sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition
International journal of molecular sciences, 2014
[148] iRSpot-TNCPseAAC: Identify recombination spots with trinucleotide composition and pseudo amino acid components
International journal of molecular sciences, 2014
[149] Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection
Bioinformatics, 2014
[150] iNitro-Tyr: Prediction of nitrotyrosine sites in proteins with general pseudo amino acid composition
PloS one, 2014
[151] iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition
Bioinformatics, 2014
[152] 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
[153] Prediction of protein S-nitrosylation sites based on adapted normal distribution bi-profile Bayes and Chou's pseudo amino acid composition
International journal of molecular sciences, 2014
[154] iNR-Drug: predicting the interaction of drugs with nuclear receptors in cellular networking
International journal of molecular sciences, 2014
[155] Prediction of bacterial protein subcellular localization by incorporating various features into Chou's PseAAC and a backward feature selection approach
Biochimie,Elsevier, 2014
[156] 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
[157] iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition
Nucleic acids research, 2014
[158] PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition
Analytical biochemistry,Elsevier, 2014
[159] 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
[160] k-Partite cliques of protein interactions: A novel subgraph topology for functional coherence analysis on PPI networks
Journal of theoretical biology,Elsevier, 2014
[161] 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
[162] 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
[163] Computer-Aided Perspective for the Design of Flexible HIV Non- Nucleoside Reverse Transcriptase Inhibitors (NNRTIs): de-novo Drug Design, Virtual Screening and Molecular Dynamics Simulations
Letters in Drug Design & Discovery, 2014
[164] k-Partite cliques of protein interactions: A novel subgraph topology for functional coherence analysis on PPI networks
Journal of Theoretical Biology, 2014
[165] iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid
2014
[166] iDNA-Prot| dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced
2014
[167] iDNA-Prot| dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid …
2014
[168] PREDICTION OF ACIDIC AND ALKALINE ENZYME USING PSEUDO AMINO ACID COMPOSITION IN COMBINATION WITH MACHINE LEARNING …
2014
[169] iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition
BioMed Research International,Hindawi Publishing Corporation, 2014
[170] Grappling the high altitude for safe edible bamboo shoots with rich nutritional attributes and escaping cyanogenic toxicity
BioMed research international, 2013
[171] Recent advances in predicting protein classification and their applications to drug development
Current topics in medicinal chemistry, 2013
[172] iGPCR-Drug: A web server for predicting interaction between GPCRs and drugs in cellular networking
PloS one, 2013
[173] Predict drug-protein interaction in cellular networking
Current topics in medicinal chemistry, 2013
[174] iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins
PeerJ, 2013
[175] iCDI-PseFpt: identify the channel–drug interaction in cellular networking with PseAAC and molecular fingerprints
Journal of theoretical biology,Elsevier, 2013
[176] iEzy-Drug: A web server for identifying the interaction between enzymes and drugs in cellular networking
BioMed research international,Hindawi Publishing Corporation, 2013
[177] A hybrid computational model for the effects of maspin on cancer cell dynamics
Journal of theoretical biology,Elsevier, 2013
[178] PFP-RFSM: Protein fold prediction by using random forests and sequence motifs
Journal of Biomedical Science and Engineering, 2013
[179] Functional Roles of Benzothiazole Motif in Antiepileptic Drug Research
Mini reviews in medicinal chemistry, 2013