Natural Science

Natural Science

ISSN Print: 2150-4091
ISSN Online: 2150-4105
www.scirp.org/journal/ns
E-mail: ns@scirp.org
"Cell-PLoc 2.0: an improved package of web-servers for predicting subcellular localization of proteins in various organisms"
written by Kuo-Chen Chou, Hong-Bin Shen,
published by Natural Science, Vol.2 No.10, 2010
has been cited by the following article(s):
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[34] Genome-scale metabolic modeling enables in-depth understanding of big data
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[36] The significant and profound impacts of Gordon life science institute
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[38] Identification of ACC synthetase genes in Volvariella volvacea and analysis of their response to ethephon and 1-methylcyclopropene treatments
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[39] Molecular cloning, characterization and expression analysis of three key starch synthesis-related genes from the bulb of a rare lily germplasm, Lilium brownii var …
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[40] Genome-wide characterization and expression profiling of EIN3/EIL family genes in Zea mays
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[41] Characterization and Function of the 1-Deoxy-D-xylose-5-Phosphate Synthase (DXS) Gene Related to Terpenoid Synthesis in Pinus massoniana
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[42] Identification of GH17 gene family in Vitis vinifera and expression analysis of GH17 under various adversities
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[43] Lack of Periplasmic Non-heme Protein SorA Increases Shewanella decolorationis Current Generation
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[44] In silico Structure Prediction and Functional Annotation of Ananas comosus Hypothetical Protein OAY63476.1
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[46] Change in Sucrose Cleavage Pattern and Rapid Starch Accumulation Govern Lily Shoot-to-Bulblet Transition in vitro
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[48] RETRACTED ARTICLE: An insightful 20-year recollection since the birth of pseudo amino acid components
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[49] Recent progresses for computationally identifying N6-methyladenosine sites in Saccharomyces cerevisiae
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[50] Genome-wide identification, and phylogenetic and expression profiling analyses, of XTH gene families in Brassica rapa L. and Brassica oleracea L.
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[51] An Effective Multi-label Classification Algorithm Based on Hypercube
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[52] Transcriptomic and metabolomic analyses reveal antibacterial mechanism of astringent persimmon tannin against Methicillin-resistant Staphylococcus aureus isolated …
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[53] Isopropoxy benzene guanidine kills Staphylococcus aureus without detectable resistance
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[54] DMLDA-LocLIFT: Identification of multi-label protein subcellular localization using DMLDA dimensionality reduction and LIFT classifier
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[55] Prolonged Heat Stress of Lactobacillus paracasei GCRL163 Improves Binding to Human Colorectal Adenocarcinoma HT-29 Cells and Modulates the Relative …
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[56] Drug and vaccine design against Novel Coronavirus (2019-nCoV) spike protein through Computational approach
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[57] pLoc_Deep-mVirus: A CNN Model for Predicting Subcellular Localization of Virus Proteins by Deep Learning
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[58] Extensive inter-plant protein transfer between Cuscuta parasites and their host plants
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[59] Use Chou's 5-steps rule to predict remote homology proteins by merging grey incidence analysis and domain similarity analysis
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[60] Use of Chou's 5-steps rule to predict the subcellular localization of gram-negative and gram-positive bacterial proteins by multi-label learning based on gene …
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[61] Study of combining virtual screening and antiviral treatments of the Sars-CoV-2 (Covid-19)
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[62] Gordon Life Science Institute and Its Impacts on Computational Biology and Drug Development
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[63] pLoc_Deep-mAnimal: A Novel Deep CNN-BLSTM Network to Predict Subcellular Localization of Animal Proteins
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[64] pLoc_Deep-mGpos: Predict Subcellular Localization of Gram Positive Bacteria Proteins by Deep Learning
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[65] ML-RBF: Predict protein subcellular locations in a multi-label system using evolutionary features
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[66] Predicting subcellular localization of proteins using protein-protein interaction data
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[67] pLoc_Deep-mGneg: Predict Subcellular Localization of Gram Negative Bacterial Proteins by Deep Learning
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[68] Lacking of periplasmic non-heme protein SorA increases Shewanella decolorationis current generation
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[69] pLoc_Deep-mPlant: Predict Subcellular Localization of Plant Proteins by Deep Learning
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[70] Genome-Wide Characterization and Expression Profiling of Plant-Specific PLATZ Transcription Factor Family Genes in Brassica rapa L.
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[71] Genome-wide identification, and phylogenetic and expression profiling analyses of XTH gene families in Brassica rapa L. and Brassica oleracea L.
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[72] The End of Our Earth Is Certainly to Come:“When”? and “Why”?
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[73] The Significant and Profound Impacts of Chou's Pseudo Amino Acid Composition or PseAAC
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[74] Chilling stress reduced protein translation by the ubiquitination of ribosomal proteins in Volvariella volvacea
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[75] Locate-R: Subcellular localization of long non-coding RNAs using nucleotide compositions
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[76] Heavy Metal Stress-Associated Proteins in Rice and Arabidopsis: Genome-Wide Identification, Phylogenetics, Duplication, and Expression Profiles Analysis
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[79] An apple transcription factor, MdDREB76, confers salt and drought tolerance in transgenic tobacco by activating the expression of stress-responsive genes
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[80] MFSC: Multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components
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[81] Advance in Predicting Subcellular Localization of Multi-label Proteins and its Implication for Developing Multi-target Drugs
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[82] Genome-wide analysis of the WRKY gene family and its response to abiotic stress in buckwheat (Fagopyrum tataricum)
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[84] Genome-Wide Identification and Characterization of Xyloglucan Endotransglycosylase/Hydrolase in Ananas comosus during Development
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[85] ML-rRBF-ECOC: A Multi-Label Learning Classifier for Predicting Protein Subcellular Localization with Both Single and Multiple Sites
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[86] Multi-Label Bioinformatics Data Classification With Ensemble Embedded Feature Selection
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[87] Protein Subcellular Localization Prediction based on PSI-BLAST Profile and Principal Component Analysis
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[88] Impacts of pseudo amino acid components and 5-steps rule to proteomics and proteome analysis
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[89] Artificial intelligence (AI) tools constructed via the 5-steps rule for predicting post-translational modifications
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[90] β-1, 2-グルコオリゴ糖の比色定量法の確立及び β-1, 2-グルコオリゴ糖に作用する新規糖転移酵素の機能と構造の解明
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[91] An Insightful 10-year Recollection Since the Emergence of the 5-steps Rule.
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[92] Recent progresses in predicting protein subcellular localization with artificial intelligence (AI) tools developed via the 5‐steps rule
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[93] Recent progresses in predicting protein subcellular localization with artificial intelligence (AI) tools developed via the 5-steps rule
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[94] Bioimage-based prediction of protein subcellular location in human tissue with ensemble features and deep networks
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[95] Gordon life science institute: its philosophy, achievements, and perspective
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[96] An insightful 20-year recollection since the birth of pseudo amino acid components
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[98] Advances in predicting subcellular localization of multi-label proteins and its implication for developing multi-target drugs
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[99] pLoc_bal-mEuk: predict subcellular localization of eukaryotic proteins by general PseAAC and quasi-balancing training dataset
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[100] pLoc_bal-mVirus: predict subcellular localization of multi-label virus proteins by Chou's general PseAAC and IHTS treatment to balance training dataset
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[102] The complete mitochondrial genome of the hermaphroditic freshwater mussel Anodonta cygnea (Bivalvia: Unionidae): in silico analyses of sex-specific …
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[103] iPSW (2L)-PseKNC: A two-layer predictor for identifying promoters and their strength by hybrid features via pseudo K-tuple nucleotide composition
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[104] An Effective Feature Fusion Method for Protein Subnuclear Localization
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[105] pNitro-Tyr-PseAAC: Predict Nitrotyrosine Sites in Proteins by Incorporating Five Features into Chou's General PseAAC
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[106] pLoc_bal-mPlant: Predict Subcellular Localization of Plant Proteins by General PseAAC and Balancing Training Dataset
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[107] 70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features
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[108] Prediction of DNase I hypersensitive sites in plant genome using multiple modes of pseudo components
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[109] iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC
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[110] iRNA-3typeA: Identifying Three Types of Modification at RNA's Adenosine Sites
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[111] EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features
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[112] The complete mitochondrial genome of the hermaphroditic freshwater mussel Anodonta cygnea (Bivalvia: Unionidae): in silico analyses of sex-specific ORFs …
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[113] Potential molecular mechanisms of overgrazing-induced dwarfism in sheepgrass (Leymus chinensis) analyzed using proteomic data
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[115] Surface characteristics and proteomic analysis insights on the response of Oenococcus oeni SD-2a to freeze-drying stress
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[116] iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC
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[117] 4mCPred: Machine learning methods for DNA n4-methylcytosine sites prediction
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[118] pLoc_bal-mHum: Predict subcellular localization of human proteins by PseAAC and quasi-balancing training dataset
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[119] PMLPR: A novel method for predicting subcellular localization based on recommender systems
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[120] pDHS-DSET: Prediction of DNase I hypersensitive sites in plant genome using DS evidence theory
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[121] The role of diatom glucose-6-phosphate dehydrogenase on lipogenic NADPH supply in green microalgae through plastidial oxidative pentose phosphate pathway
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[122] Fast multi-label SVM training based on approximate extreme points
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[123] Subcellular Localization of Multi-class Proteins Using Label Power-set Encoding
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[124] Funkcja nukleazy REXO2 w metabolizmie ludzkiego mitochondrialnego RNA
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[125] Study of Protein Subcellular Localization Prediction: A Review
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[126] Identification and comparative analysis of Brassica juncea pathogenesis-related genes in response to hormonal, biotic and abiotic stresses
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[127] Protein subcellular localization with gaussian kernel discriminant analysis and its kernel parameter selection
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[128] Novel signaling interface constituted with membrane receptor-like kinases emerged from the study of interaction and transphosphorylation of BRI1 and BAK1
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[129] iKcr-PseEns: Identify lysine crotonylation sites in histone proteins with pseudo components and ensemble classifier
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[130] pLoc-mGpos: incorporate key gene ontology information into general PseAAC for predicting subcellular localization of Gram-positive bacterial proteins
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[131] 2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications
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[132] 使用蛋白质和 mRNA 序列信息预测蛋白质亚线粒体定位
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[133] Prediction of metastasis in advanced colorectal carcinomas using CGH data
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[134] Protein Sorting Prediction
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[135] pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC
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[136] 使用重組大腸桿菌包含從 Caldimonas manganoxidans 轉來的 PhaZcma 和 ORFcma 去降解塑膠
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[137] Pse-in-One 2.0: An Improved Package of Web Servers for Generating Various Modes of Pseudo Components of DNA, RNA, and Protein Sequences
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[138] DephosSitePred: A High Accuracy Predictor for Protein Dephosphorylation Sites
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[139] An unprecedented revolution in medicinal chemistry driven by the progress of biological science
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[140] iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals
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[141] An in silico approach for characterization of encoded protein from Rdr1, a black spot resistance gene in Rosa multiflora
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[142] Protein subcellular localization prediction using multiple kernel learning based support vector machine
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[143] Identification of bacterial surface antigens by screening peptide phage libraries using whole bacteria cell-purified antisera
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[144] Novel Feature Extraction for Predicting Gram-Positive and Gram-Negative Bacteria Protein Sub-cellular Localization
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[145] PREDICTION OF PROTEIN SUBCELLULAR LOCALIZATION OF HUMAN PROTEIN USING J48, RANDOM FOREST AND BEST FIRST TREE TECHNIQUES
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[146] Prediction of protein subcellular localization using support vector machine with the choice of proper kernel
2017
[147] Supplementary Materials for FUEL-mLoc Web-Server
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[148] Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain …
2016
[149] FUEL-mLoc: feature-unified prediction and explanation of multi-localization of cellular proteins in multiple organisms
2016
[150] Protein sub-cellular localization based on noise-intensity-weighted linear discriminant analysis and an improved k-nearest-neighbor classifier
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[151] A multi-label feature extraction algorithm via maximizing feature variance and feature-label dependence simultaneously
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[152] A New Multi-label Classifier for Identifying the Functional Types of Singleplex and Multiplex Antimicrobial Peptides
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[153] Protein fold recognition using HMM-HMM alignment and Dynamic Programming
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[154] mGOF-Loc: A Novel Ensemble Learning Method for Human Protein Subcellular Localization Prediction
Neurocomputing, 2016
[155] 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
[156] Classifying Multifunctional Enzymes by Incorporating Three Different Models into Chou's General Pseudo Amino Acid Composition
The Journal of Membrane Biology, 2016
[157] RNA-MethylPred: A high-accuracy predictor to identify N6-methyladenosine in RNA
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[158] OH-PRED: prediction of protein hydroxylation sites by incorporating adapted normal distribution bi-profile Bayes feature extraction and physicochemical properties of …
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[159] Research and Application of Fast Multi-label SVM Classification Algorithm Using Approximate Extreme Points
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[160] Identify Secretory Protein of Malaria Parasite with Modified Quadratic Discriminant Algorithm and Amino Acid Composition
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[161] PGlcS: Prediction of protein O-GlcNAcylation sites with multiple features and analysis
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[162] EXPLORING TECHNIQUES FOR OPTIMAL FEATURE AND CLASSIFIER SELECTION FOR PROTEIN MODELING, FUNCTION, AND FOLD RECOGNITION
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[163] The wheat AGC kinase TaAGC1 is a positive contributor to host resistance to the necrotrophic pathogen Rhizoctonia cerealis
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[164] 基于氨基酸约化和统计特征的蛋白质亚细胞定位预测
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[165] Abiotic Stresses Downregulate Key Genes Involved in Nitrogen Uptake and Assimilation in Brassica juncea L.
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[166] Confident difference criterion: a new Bayesian differentially expressed gene selection algorithm with applications
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[167] Protein Subcellular Location Prediction Based on Pseudo Amino Acid Composition and PSI-Blast Profile
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[168] Predicting Subcellular Localization of Proteins by Bioinformatic Algorithms
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[169] Using Chou's Pseudo Amino Acid Composition and Machine Learning Method to Predict the Antiviral Peptides
Open Bioinformatics Journal, 2015
[170] Machine learning for protein subcellular localization prediction
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[171] Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC
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[172] iDNA-Methyl: Identifying DNA methylation sites via pseudo trinucleotide composition
Analytical biochemistry, 2015
[173] Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences
Molecular BioSystems, 2015
[174] Impacts of bioinformatics to medicinal chemistry
Medicinal Chemistry, 2015
[175] Subcellular localization for Gram Positive and Gram Negative Bacterial Proteins using Linear Interpolation Smoothing Model
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[176] Insights into the Mutation-Induced Dysfunction of Arachidonic Acid Metabolism from Modeling of Human CYP2J2
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[177] Protein subcellular localization: gene ontology based machine learning approaches
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[178] Dual Fuzzy Hypergraph Regularized Multi-label Learning for Protein Subcellular Location Prediction
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[179] A New Multi-label Classifier in Identifying the Functional Types of Human Membrane Proteins
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[180] 基于直推学习的蛋白质亚细胞定位预测预处理方法
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[181] iDrug-Target: Predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach
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[182] Gram-Positive and Gram-Negative Subcellular Localization Using Rotation Forest and Physicochemical-Based Features
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[183] Prediction of Protein Secondary Structure Using Feature Selection and Analysis Approach
Acta biotheoretica, 2014
[184] Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping
Journal of theoretical biology, 2014
[185] 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
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[186] Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble
BMC bioinformatics, 2014
[187] Multi-Label Learning With Fuzzy Hypergraph Regularizition for Protein Subcellular Location Prediction
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[188] iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition
BioMed Research International, 2014
[189] Robust feature generation for protein subchloroplast location prediction with a weighted GO transfer model
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[190] Review of Protein Subcellular Localization Prediction
Current Bioinformatics, 2014
[191] Predicting the protein solubility by integrating chaos games representation and entropy in information theory
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[192] 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
[193] A feature extraction Q3 technique
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[194] Screening drug target proteins based on sequence information
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[195] iTIS-PseTNC: A sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition
Analytical biochemistry, 2014
[196] iNR-Drug: predicting the interaction of drugs with nuclear receptors in cellular networking
International journal of molecular sciences, 2014
[197] Genome-wide comparative analysis of NBS-encoding genes between Brassica species and Arabidopsis thaliana
2014
[198] Novel Ensemble Predictor for Gram-positive Bacterial Protein Sequences
Frontiers of Information Technology (FIT), 2014 12th International Conference on, 2014
[199] 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
[200] Prediction of P53 Mutants (Multiple Sites) Transcriptional Activity Based on Structural (2D & 3D) Properties
PloS one, 2013
[201] Técnicas de ingeniería informática e inteligencia artificial para clasificación: aplicaciones para el descubrimiento de fármacos y dianas moleculares
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[202] Predicting the heats of combustion of polynitro arene, polynitro heteroarene, acyclic and cyclic nitramine, nitrate ester and nitroaliphatic compounds using bee …
Chemometrics and Intelligent Laboratory Systems, 2013
[203] Mining Proteins with Non-Experimental Annotations Based on an Active Sample Selection Strategy for Predicting Protein Subcellular Localization
PLOS ONE, 2013
[204] iCDI-PseFpt: identify the channel–drug interaction in cellular networking with PseAAC and molecular fingerprints
Journal of Theoretical Biology, 2013
[205] A simple k-word interval method for phylogenetic analysis of DNA sequences
Journal of Theoretical Biology, 2013
[206] Na\ve Bayes Classifier with Feature Selection to Identify Phage Virion Proteins
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[207] Multilabel learning via random label selection for protein subcellular multilocations prediction
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2013
[208] Naive Bayes classifier with feature selection to identify phage virion proteins
Computational and mathematical methods in medicine, 2013
[209] Recent advances in predicting protein classification and their applications to drug development
Current topics in medicinal chemistry, 2013
[210] 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
[211] Stability of halophilic proteins: from dipeptide attributes to discrimination classifier
International journal of biological macromolecules, 2013
[212] A novel ensemble and composite approach for classifying proteins based on Chou's pseudo amino acid composition
African Journal of Biotechnology, 2013
[213] A simple< i> k-word interval method for phylogenetic analysis of DNA sequences
Journal of theoretical biology, 2013
[214] Prediction of metabolic pathway using graph property, chemical functional group and chemical structural set
Current Bioinformatics, 2013
[215] iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition
Nucleic Acids Research, 2013
[216] iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition
PLoS One, 2013
[217] Some remarks on predicting multi-label attributes in molecular biosystems
Molecular Biosystems, 2013
[218] iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins
Molecular BioSystems, 2013
[219] GOASVM: A subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-am
Journal of Theoretical Biology, 2013
[220] iEzy-Drug: A web server for identifying the interaction between enzymes and drugs in cellular networking
BioMed research international, 2013
[221] A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition
Journal of theoretical biology, 2013
[222] iGPCR-Drug: A web server for predicting interaction between GPCRs and drugs in cellular networking
PloS one, 2013
[223] 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
[224] Role of Cation-π Interactions in the Structural Stability of Bacterial Adhesins
Protein and peptide letters, 2013
[225] Involvement of phosphatidate phosphatase in the biosynthesis of triacylglycerols in Chlamydomonas reinhardtii
Journal of Zhejiang University SCIENCE B, 2013
[226] Prediction of Temperature Optimum in Enzymatic Reaction of Beta-Cellobiosidases with Exhausted Jackknife Validation
Life Science Journal, 2013
[227] Mining Proteins with Non-Experimental Annotations Based on an Active Sample Selection Strategy for Predicting Protein Subcellula
PloS one, 2013
[228] Predicting Biological Functions of Protein Complexes Using Graphic and Functional Features.
Current Bioinformatics, 2013
[229] Locating apoptosis proteins by incorporating the signal peptide cleavage sites into the general form of Chou's Pseudo amino acid
International Journal of Quantum Chemistry, 2013
[230] A Two-step Similarity-based Method for Prediction of Drug's Target Group
Protein and peptide letters, 2013
[231] Predict Subcellular Locations of Singleplex and Multiplex Proteins by Semi-Supervised Learning and Dimension-Reducing General Mode of Chou's PseAAC
2013
[232] Identification of antioxidants from sequence information using Naive Bayes
Computational and mathematical methods in medicine, 2013
[233] Fast multi-label core vector machine
Pattern Recognition, 2013
[234] A simple iterative method to optimize protein–ligand-binding residue prediction
Journal of theoretical biology, 2013
[235] Prediction of cancer rescue p53 mutants in silico using Na?ve Bayes learning methodology
Protein and peptide letters, 2013
[236] A novel integrated method for human multiplex protein subcellular localization prediction
2013 IEEE International Conference on Big Data, 2013
[237] Subcelluar localization of orf126 of Bombyx mori nucleopolyhedrovirus
African Journal of Biotechnology,, 2013
[238] Identifying the singleplex and multiplex proteins based on transductive learning for protein subcellular localization prediction
Biotechnology letters, 2013
[239] EcmPred: Prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection
Journal of theoretical biology, 2013
[240] Molecular and biochemical characterisation of esterases from oenococcus oeni and their potential for application in wine.
Thesis (Ph.D.) -- University of Adelaide, School of Agriculture, Food and Wine, 2013
[241] 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
[242] Using the improved position specific scoring matrix and ensemble learning method to predict drug-binding residues from protein sequences
Natural Science, 2012
[243] Proteomic and Bioinformatics Tools to Understand Virulence Mechanisms in Staphylococcus aureus
Current Proteomics, 2012
[244] GNeg-CEF: Gram-negative bacterial protein prediction using ensemble approach for individual feature extraction strategies
Emerging Technologies (ICET), 2012 International Conference on. IEEE, 2012
[245] An adaptation of Pfam profiles to predict protein sub-cellular localization in Gram positive bacteria
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. IEEE, 2012
[246] 基因表达数据小波降噪与肿瘤识别
生物数学学报, 2012
[247] Homology Modeling and Antagonist Binding Site Study of the Human Histamine H2 Receptor
Medicinal Chemistry, 2012
[248] Validation of the use of multiple internal control genes, and the application of real-time quantitative PCR, to study esterase gene expression in Oenococcus oeni
Applied microbiology and biotechnology, 2012
[249] Exhausted Jackknife Validation Exemplified by Prediction of Temperature Optimum in Enzymatic Reaction of Cellulases
Applied biochemistry and biotechnology, 2012
[250] Predicting the metabolic pathways of small molecules based on their physicochemical properties
Protein and peptide letters, 2012
[251] Nucleosome positioning based on the sequence word composition
Protein and peptide letters, 2012
[252] Generation of pharmacophore and atom based 3D-QSAR model of novel isoquinolin-1-one and quinazolin-4-one-type inhibitors of TNF
Medicinal Chemistry, 2012
[253] PSCL: Predicting protein subcellular localization based on optimal functional domains
Protein and peptide letters, 2012
[254] Ranking Gene Ontology terms for predicting non-classical secretory proteins in eukaryotes and prokaryotes
Journal of theoretical biology, 2012
[255] SOMEViz: a web service for site of metabolism estimating and visualizing
Protein and peptide letters, 2012
[256] Prediction of nicotinamide adenine dinucleotide interacting sites based on ensemble support vector machine
Protein and peptide letters, 2012
[257] SCYPPred: A Web-Based Predictor of SNPs for Human Cytochrome P450
Protein and peptide letters, 2012
[258] Enhancing membrane protein subcellular localization prediction by parallel fusion of multi-view features
NanoBioscience, IEEE Transactions on, 2012
[259] Recent Advances in Predicting G-Protein Coupled Receptor Classification
Current Bioinformatics, 2012
[260] Annotating the protein-RNA interaction sites in proteins using evolutionary information and protein backbone structure
Journal of theoretical biology, 2012
[261] Computational Prediction of Protein Subcellular Locations in Eukaryotes: an Experience Report
Computational Molecular Biology, 2012
[262] Wavelet images and Chou's pseudo amino acid composition for protein classification
2012
[263] Imbalanced Multi-Modal Multi-Label Learning for Subcellular Localization Prediction of Human Proteins with Both Single and Multiple Sites
PloS one, 2012
[264] Prediction of membrane proteins using split amino acid and ensemble classification
Amino acids, 2012
[265] Identification of amino acid propensities that are strong determinants of linear B-cell epitope using neural networks
PloS one, 2012
[266] mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines
BMC bioinformatics, 2012
[267] Predicting protein submitochondria locations by combining different descriptors into the general form of Chou's pseudo amino acid composition
Amino Acids, 2012
[268] Prediction of protein subcellular multi-localization based on the general form of Chou's pseudo amino acid composition
Protein and peptide letters, 2012
[269] Multi-kernel transfer learning based on Chou's PseAAC formulation for protein submitochondria localization
Journal of Theoretical Biology, 2012
[270] Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning
Journal of Theoretical Biology, 2012
[271] Identifying bacterial virulent proteins by fusing a set of classifiers based on variants of Chou's pseudo amino acid composition
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2012
[272] iLoc-Gpos: A multi-layer classifier for predicting the subcellular localization of singleplex and multiplex gram-positive bacter
Protein and peptide letters, 2012
[273] A segmented principal component analysis—regression approach to QSAR study of peptides
Journal of theoretical biology, 2012
[274] 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
[275] Prediction of human genes' regulatory functions based on proteinprotein interaction network
Protein and peptide letters, 2012
[276] Systematic analysis of human lysine acetylation proteins and accurate prediction of human lysine acetylation through bi-relative adapted binomial score Bayes feature representation
Molecular BioSystems, 2012
[277] Predicting Viral Protein Subcellular Localization with Chou's Pseudo Amino Acid Composition and Imbalance-Weighted Multi-Label K
Protein and peptide letters, 2012
[278] Prediction of optimal pH and temperature of cellulases using neural network
Protein and peptide letters, 2012
[279] Bioinformatics Data Mining Using an Improved Boosting Method and Chou's pseudo amino acid composition.
Y Wang, J Lin, H feng Fan - Journal of Convergence Information Technology, 2012, 2012
[280] Mem-PHybrid: hybrid features-based prediction system for classifying membrane protein types
Analytical biochemistry, 2012
[281] Predicting metabolic pathways of small molecules and enzymes based on interaction information of chemicals and proteins
PloS one, 2012
[282] Analysis of metabolic pathway using hybrid properties
Protein and peptide letters, 2012
[283] Imbalanced Multi-Modal Multi-Label Learning for Subcellular Localization Prediction of Human Proteins with Both Single and
2012
[284] Systematic analysis of human lysine acetylation proteins and accurate prediction of human lysine acetylation through bi-relative adapted binomial score Bayes feature …
2012
[285] 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
[286] 真核生物蛋白质亚细胞定位的计算预测: 一个经验报告
2012
[287] A Multi-Label Classifier for Predicting the Subcellular Localization of Gram-Negative Bacterial Proteins with Both Single
PloS one, 2011
[288] In vitro transcriptomic prediction of hepatotoxicity for early drug discovery
Journal of Theoretical Biology, 2011
[289] Algorithm of Insulin Human P01308-Position 102-Determinante 2029
International Journal of Biochemistry Research & Review, 2011
[290] Theoretical study of GSK−3α: neural networks QSAR studies for the design of new inhibitors using 2D descriptors
2011
[291] CE-PLoc: an ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition
Computational Biology and Chemistry, 2011
[292] Image-derived Generative Models for Three-dimensional Cellular Organization
ProQuest Dissertations Publishing, 2011
[293] Molecular Biocoding of Insulin–Amino Acid Ser
2011
[294] On the relation between residue flexibility and residue interactions in proteins
Protein and peptide letters, 2011
[295] Predicting homo-oligomers and hetero-oligomers by pseudo-amino acid composition: An approach from discrete wavelet transformation
Biochimie, 2011
[296] Molecular biocoding of insulin-amino acid Ser
Journal Of Bioengineering & Biomedical Science, 2011
[297] SemiHS: An Iterative Semi-Supervised Approach for Predicting Proteinprotein Interaction Hot Spots
Protein and peptide letters, 2011
[298] Multi-label learning for protein subcellular location prediction
Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on. IEEE, 2011
[299] Theoretical study of GSK? 3α: neural networks QSAR studies for the design of new inhibitors using 2D descriptors
Molecular diversity, 2011
[300] Discrimination of Thermostable and Thermophilic Lipases using Support Vector Machines
Protein and peptide letters, 2011
[301] Computer-Based Comparison of Structural Features of Envelope Protein of Alkhurma Hemorrhagic Fever Virus with the Homologous Proteins of Two Closest Viruses
Protein and peptide letters, 2011
[302] Remote data retrieval for bioinformatics applications: An agent migration approach
PloS one, 2011
[303] Prediction of GPCRs with Pseudo Amino Acid Composition: Employing Composite Features and Grey Incidence Degree Based Classification
Protein and peptide letters, 2011
[304] Analyses of Protein Sequences Using Inter-Residue Average Distance Statistics to Study Folding Processes and the Significance of Their Partial Sequences
Protein and peptide letters, 2011
[305] Compressed learning and its applications to subcellular localization
Protein and peptide letters, 2011
[306] A Novel Fuzzy Fisher Classifier for Signal Peptide Prediction
Protein and peptide letters, 2011
[307] Gaussian process: a promising approach for the modeling and prediction of peptide binding affinity to MHC proteins
Protein and peptide letters, 2011
[308] Improved prediction of protein ligand-binding sites using Random Forests
Protein and peptide letters, 2011
[309] Using the concept of pseudo amino acid composition to predict resistance gene against Xanthomonas oryzae pv. oryzae in rice: An approach from chaos games representation
Journal of theoretical biology, 2011
[310] Prediction of rat protein subcellular localization with pseudo amino acid composition based on multiple sequential features
Protein and peptide letters, 2011
[311] QSAR Study on MHC Class IA Alleles Based on the Novel Parameters of Amino Acids
Protein and peptide letters, 2011
[312] Predicting the activity of ACE inhibitory peptides with a novel mode of pseudo amino acid composition
Protein and peptide letters, 2011
[313] Searching of predictors to predict pH optimum of cellulases
Applied biochemistry and biotechnology, 2011
[314] In vitro transcriptomic prediction of hepatotoxicity for early drug discovery
Journal of theoretical biology, 2011
[315] 3D QSAR pharmacophore modeling, in silico screening, and density functional theory (DFT) approaches for identification of human
International journal of molecular sciences, 2011
[316] Recent advances in protein-protein interaction prediction: experimental and computational methods
Expert opinion on drug discovery, 2011
[317] iLoc-Plant: a multi-label classifier for predicting the subcellular localization of plant proteins with both single and multiple
Molecular BioSystems, 2011
[318] Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
Journal of Theoretical Biology, 2011
[319] Some remarks on protein attribute prediction and pseudo amino acid composition
Journal of theoretical biology, 2011
[320] iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins
PLoS One, 2011
[321] GPCR-2L: Predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions
Molecular Biosystems, 2011
[322] iLoc-Virus: A multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
Journal of Theoretical Biology, 2011
[323] A Multi-Label Classifier for Predicting the Subcellular Localization of Gram-Negative Bacterial Proteins with Both Single and Multiple Sites
PloS one, 2011
[324] AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties
Journal of Theoretical Biology, 2011
[325] Using pseudo amino acid composition to predict protease families by incorporating a series of protein biological features
Protein and Peptide Letters, 2011
[326] Using a novel AdaBoost algorithm and Chou's pseudo amino acid composition for predicting protein subcellular localization
Protein and peptide letters, 2011
[327] Prediction of body fluids where proteins are secreted into based on protein interaction network
PLoS One, 2011
[328] Predicting transcriptional activity of multiple site p53 mutants based on hybrid properties
PLoS One, 2011
[329] Identify submitochondria and subchloroplast locations with pseudo amino acid composition: approach from the strategy of discrete wavelet transform feature extraction
2011
[330] Recent progress in predicting protein sub-subcellular locations
2011
[331] CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino
Computational biology and chemistry, 2011
[332] Identification of multiple subcellular locations for proteins in budding yeast
Current Bioinformatics, 2011
[333] Predicting Protein Subcellular Localization by Pseudo Amino Acid Composition with a Segment-Weighted and Features-Combined Approach
Protein and Peptide Letters, 2011
[334] An efficient support vector machine approach for identifying protein S-nitrosylation sites
Protein and peptide letters, 2011
[335] Predicting apoptosis protein subcellular location with PseAAC by incorporating tripeptide composition
Protein and peptide letters, 2011
[336] Improved sequence-based prediction of strand residues
Journal of bioinformatics and computational biology, 2011
[337] Iatrogenic effects of Orthodontic treatment–Review on white spot lesions
Int J Sci Eng Res, 2011
[338] 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
[339] Algorithm of Insulin Human P01308–discrete code 2029
International Journal of Scientific and Engineering Research (IJSER) , 2011
[340] Algorithm and computational complexity of biochemistry
Journal of Chemical Engineering and Materials Science, 2011
[341] Molecular docking and pharmacophore model studies of Rho kinase inhibitors
Molecular Simulation, 2011
[342] Algorithm of Insulin Human P01308–Amino acids Thr, Asn, and Pro
BIOMIRROR, 2011
[343] 贝塔-葡萄糖苷酶催化反应的最适pH 值和最适温度的同时预测
广西科学, 2011
[344] Molecular biocoding of insulin–amino acid Gly
International Journal of Scientific and Engineering Research (IJSER)-March, 2011
[345] gorithm of Insulin Human P01308-Position 102-Determinante 2029.
International Journal of Biochemistry Research & Review, 2011
[346] Nonsense‐mediated decay targets have multiple sequence‐related features that can inhibit translation
2010
[347] aestivum L.
[348] MOLECULAR DISSECTION AND AN IN-SILICO APPROACH OF A NOVEL GIBBERELLIN 20-OXIDASE GENE OF HIBISCUS CANNABINUS L.
[349] Cysteine-Mediated Extracellular Electron Transfer of Lysinibacillus Varians Gy32
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