Kuo-Chen Chou
#46,465
Most Influential Person Now
Chinese-American biophysicist, Gordon Life Science Institute
Kuo-Chen Chou's AcademicInfluence.com Rankings
Kuo-Chen Chouphysics Degrees
Physics
#1474
World Rank
#2262
Historical Rank
#633
USA Rank
Biophysics
#26
World Rank
#28
Historical Rank
#9
USA Rank
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Physics
Kuo-Chen Chou's Degrees
- PhD Biophysics University of California, San Francisco
- Masters Biophysics University of California, San Francisco
- Bachelors Physics National Taiwan University
Why Is Kuo-Chen Chou Influential?
(Suggest an Edit or Addition)According to Wikipedia, Kuo-Chen Chou was a Chinese-American biophysicist and bioinformatician who founded the Gordon Life Science Institute, a non-profit research organization in Boston, Massachusetts. Among other contributions, he developed pseudo amino acid composition , used in computational biology for proteomics analysis and pseudo K-tuple nucleotide composition for genome analysis. He is the father of James Chou.
Kuo-Chen Chou's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Prediction of protein cellular attributes using pseudo‐amino acid composition (2001) (1693)
- Some remarks on protein attribute prediction and pseudo amino acid composition (2010) (1174)
- Prediction of protein structural classes. (1995) (1058)
- Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes (2005) (843)
- Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms (2008) (821)
- Recent progress in protein subcellular location prediction. (2007) (759)
- Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization (2010) (663)
- Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences (2015) (637)
- Structural bioinformatics and its impact to biomedical science. (2004) (600)
- iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition (2013) (568)
- Impacts of bioinformatics to medicinal chemistry. (2015) (490)
- Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location* (2002) (483)
- REVIEW : Recent advances in developing web-servers for predicting protein attributes (2009) (465)
- iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition (2014) (458)
- Prediction of protein cellular attributes using pseudo‐amino acid composition (2001) (450)
- A novel approach to predicting protein structural classes in a (20–1)‐D amino acid composition space (1995) (429)
- Pseudo Amino Acid Composition and its Applications in Bioinformatics, Proteomics and System Biology (2009) (426)
- MemType-2L: a web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM. (2007) (405)
- iAMP-2L: a two-level multi-label classifier for identifying antimicrobial peptides and their functional types. (2013) (403)
- Some remarks on predicting multi-label attributes in molecular biosystems. (2013) (391)
- PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition. (2014) (383)
- Protein subcellular location prediction. (1999) (382)
- PseAAC: a flexible web server for generating various kinds of protein pseudo amino acid composition. (2008) (379)
- iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition (2013) (367)
- iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences (2018) (354)
- iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition (2014) (351)
- Ensemble classifier for protein fold pattern recognition (2006) (351)
- iACP: a sequence-based tool for identifying anticancer peptides (2016) (333)
- iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites. (2012) (329)
- iLoc-Euk: A Multi-Label Classifier for Predicting the Subcellular Localization of Singleplex and Multiplex Eukaryotic Proteins (2011) (314)
- A New Method for Predicting the Subcellular Localization of Eukaryotic Proteins with Both Single and Multiple Sites: Euk-mPLoc 2.0 (2010) (313)
- iRNA-Methyl: Identifying N(6)-methyladenosine sites using pseudo nucleotide composition. (2015) (306)
- iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition (2016) (305)
- Euk-mPLoc: a fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites. (2007) (304)
- Binding mechanism of coronavirus main proteinase with ligands and its implication to drug design against SARS (2003) (301)
- iRSpot-EL: identify recombination spots with an ensemble learning approach (2017) (288)
- Cell-PLoc 2.0: an improved package of web-servers for predicting subcellular localization of proteins in various organisms (2010) (288)
- Signal-CF: a subsite-coupled and window-fusing approach for predicting signal peptides. (2007) (283)
- pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach. (2016) (283)
- Prediction of protein subcellular locations by incorporating quasi-sequence-order effect. (2000) (280)
- Support vector machines for predicting membrane protein types by using functional domain composition. (2003) (278)
- iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC. (2015) (274)
- Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences. (2015) (273)
- iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins (2013) (272)
- Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection (2013) (267)
- iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition. (2013) (265)
- iRNA-PseU: Identifying RNA pseudouridine sites (2016) (262)
- Predicting Drug-Target Interaction Networks Based on Functional Groups and Biological Features (2010) (260)
- iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC. (2018) (255)
- Prediction of tight turns and their types in proteins. (2000) (253)
- iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model (2011) (251)
- iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC (2018) (250)
- Predicting eukaryotic protein subcellular location by fusing optimized evidence-theoretic K-Nearest Neighbor classifiers. (2006) (250)
- iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC (2017) (249)
- An Unprecedented Revolution in Medicinal Chemistry Driven by the Progress of Biological Science. (2017) (248)
- Using subsite coupling to predict signal peptides. (2001) (248)
- iDNA-Prot|dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid Composition (2014) (248)
- Prediction of human immunodeficiency virus protease cleavage sites in proteins. (1996) (247)
- iLoc-Virus: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites. (2011) (242)
- Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization. (2006) (242)
- iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset. (2016) (242)
- Signal-3L: A 3-layer approach for predicting signal peptides. (2007) (242)
- Prediction of Protein Structural Classes by Support Vector Machines (2002) (242)
- iTIS-PseTNC: a sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition. (2014) (239)
- Prediction of membrane protein types and subcellular locations (1999) (238)
- iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins. (2013) (237)
- iDNA-Methyl: identifying DNA methylation sites via pseudo trinucleotide composition. (2015) (237)
- pRNAm-PC: Predicting N(6)-methyladenosine sites in RNA sequences via physical-chemical properties. (2016) (236)
- repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects (2015) (234)
- iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components (2014) (233)
- EzyPred: a top-down approach for predicting enzyme functional classes and subclasses. (2007) (232)
- iPTM-mLys: identifying multiple lysine PTM sites and their different types (2016) (229)
- 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) (222)
- iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition (2014) (220)
- iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels (2014) (219)
- AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties. (2011) (218)
- 2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function (2017) (218)
- A Multi-Label Classifier for Predicting the Subcellular Localization of Gram-Negative Bacterial Proteins with Both Single and Multiple Sites (2011) (216)
- pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC. (2018) (216)
- Identification of Real MicroRNA Precursors with a Pseudo Structure Status Composition Approach (2015) (212)
- iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences (2016) (210)
- A key driving force in determination of protein structural classes. (1999) (209)
- iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data (2019) (205)
- iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition (2014) (203)
- PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions (2015) (202)
- iLoc‐lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC (2018) (198)
- iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties (2012) (195)
- iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework (2016) (195)
- iLoc-Plant: a multi-label classifier for predicting the subcellular localization of plant proteins with both single and multiple sites. (2011) (194)
- Hum-mPLoc: an ensemble classifier for large-scale human protein subcellular location prediction by incorporating samples with multiple sites. (2007) (193)
- Large‐scale plant protein subcellular location prediction (2007) (193)
- Graphic rules in steady and non-steady state enzyme kinetics. (1989) (193)
- iHyd-PseAAC: Predicting Hydroxyproline and Hydroxylysine in Proteins by Incorporating Dipeptide Position-Specific Propensity into Pseudo Amino Acid Composition (2014) (190)
- Weighted-support vector machines for predicting membrane protein types based on pseudo-amino acid composition. (2004) (189)
- Using LogitBoost classifier to predict protein structural classes. (2006) (186)
- Using pseudo amino acid composition to predict protein structural classes: Approached with complexity measure factor (2006) (183)
- pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC. (2017) (183)
- Prediction of signal peptides using scaled window (2001) (182)
- iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach (2015) (181)
- iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites (2018) (180)
- Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network. (2007) (178)
- Predicting protein structural class by functional domain composition. (2004) (178)
- iMethyl-PseAAC: Identification of Protein Methylation Sites via a Pseudo Amino Acid Composition Approach (2014) (176)
- pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC (2016) (175)
- Predicting Anatomical Therapeutic Chemical (ATC) Classification of Drugs by Integrating Chemical-Chemical Interactions and Similarities (2012) (175)
- Using optimized evidence-theoretic K-nearest neighbor classifier and pseudo-amino acid composition to predict membrane protein types. (2005) (174)
- Nuc-PLoc: a new web-server for predicting protein subnuclear localization by fusing PseAA composition and PsePSSM. (2007) (174)
- Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition. (2006) (173)
- iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC (2016) (173)
- Prediction protein structural classes with pseudo-amino acid composition: approximate entropy and hydrophobicity pattern. (2008) (171)
- Prediction and classification of protein subcellular location—sequence‐order effect and pseudo amino acid composition (2003) (171)
- Identification of Colorectal Cancer Related Genes with mRMR and Shortest Path in Protein-Protein Interaction Network (2012) (170)
- Prediction of Antimicrobial Peptides Based on Sequence Alignment and Feature Selection Methods (2011) (169)
- pLoc‐mAnimal: predict subcellular localization of animal proteins with both single and multiple sites (2017) (168)
- Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition. (2006) (167)
- Prediction of protein subcellular locations by GO-FunD-PseAA predictor. (2004) (167)
- iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide composition (2017) (167)
- Predicting Functions of Proteins in Mouse Based on Weighted Protein-Protein Interaction Network and Protein Hybrid Properties (2011) (167)
- Prediction of Membrane Protein Types by Incorporating Amphipathic Effects (2005) (167)
- iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition (2016) (166)
- An optimization approach to predicting protein structural class from amino acid composition (1992) (166)
- GPCR‐CA: A cellular automaton image approach for predicting G‐protein–coupled receptor functional classes (2009) (164)
- Graphic rule for drug metabolism systems. (2010) (164)
- Energy-optimized structure of antifreeze protein and its binding mechanism. (1992) (164)
- Domain structural class prediction. (1998) (163)
- Bioinformatical analysis of G-protein-coupled receptors. (2002) (163)
- Using supervised fuzzy clustering to predict protein structural classes. (2005) (161)
- Prediction of protein structural classes and subcellular locations. (2000) (159)
- iRNA-3typeA: Identifying Three Types of Modification at RNA’s Adenosine Sites (2018) (159)
- Identification of microRNA precursor with the degenerate K-tuple or Kmer strategy. (2015) (159)
- pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC. (2017) (158)
- ProtIdent: a web server for identifying proteases and their types by fusing functional domain and sequential evolution information. (2008) (158)
- A top-down approach to enhance the power of predicting human protein subcellular localization: Hum-mPLoc 2.0. (2009) (157)
- Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid composition. (2005) (157)
- Gneg-mPLoc: a top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins. (2010) (156)
- Unified QSAR approach to antimicrobials. Part 3: first multi-tasking QSAR model for input-coded prediction, structural back-projection, and complex networks clustering of antiprotozoal compounds. (2008) (154)
- iUbiq-Lys: prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a gray system model (2015) (153)
- pLoc-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by deep gene ontology learning via general PseAAC. (2017) (153)
- iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets (2016) (151)
- iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC (2016) (149)
- Predicting protein quaternary structure by pseudo amino acid composition (2003) (149)
- Predicting protein-protein interactions from sequences in a hybridization space. (2006) (148)
- Application of SVM to predict membrane protein types. (2004) (148)
- pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information (2018) (148)
- Gpos-PLoc: an ensemble classifier for predicting subcellular localization of Gram-positive bacterial proteins. (2007) (147)
- Low-frequency Fourier spectrum for predicting membrane protein types. (2005) (147)
- SLLE for predicting membrane protein types. (2005) (146)
- Structure of beta-sheets. Origin of the right-handed twist and of the increased stability of antiparallel over parallel sheets. (1982) (146)
- Prediction of beta-turns. (1979) (145)
- Progress in protein structural class prediction and its impact to bioinformatics and proteomics. (2005) (145)
- iPhos‐PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory (2017) (144)
- iPGK-PseAAC: Identify Lysine Phosphoglycerylation Sites in Proteins by Incorporating Four Different Tiers of Amino Acid Pairwise Coupling Information into the General PseAAC. (2017) (142)
- iPhos-PseEn: Identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier (2016) (142)
- iRNA(m6A)-PseDNC: Identifying N6-methyladenosine sites using pseudo dinucleotide composition. (2018) (142)
- repRNA: a web server for generating various feature vectors of RNA sequences (2016) (142)
- iEnhancer‐EL: identifying enhancers and their strength with ensemble learning approach (2018) (142)
- iMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach (2016) (141)
- iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC (2018) (141)
- Low-frequency resonance and cooperativity of hemoglobin. (1989) (141)
- Analysis and Prediction of the Metabolic Stability of Proteins Based on Their Sequential Features, Subcellular Locations and Interaction Networks (2010) (141)
- A model of the complex between cyclin-dependent kinase 5 and the activation domain of neuronal Cdk5 activator. (1999) (138)
- iPreny-PseAAC: Identify C-terminal Cysteine Prenylation Sites in Proteins by Incorporating Two Tiers of Sequence Couplings into PseAAC. (2017) (137)
- Virus-PLoc: a fusion classifier for predicting the subcellular localization of viral proteins within host and virus-infected cells. (2007) (137)
- Prediction of the tertiary structure of a caspase‐9/inhibitor complex (2000) (137)
- Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition (2016) (137)
- iKcr-PseEns: Identify lysine crotonylation sites in histone proteins with pseudo components and ensemble classifier. (2017) (137)
- Role of the protein outside active site on the diffusion-controlled reaction of enzymes (1982) (136)
- iLoc-Gpos: a multi-layer classifier for predicting the subcellular localization of singleplex and multiplex Gram-positive bacterial proteins. (2012) (136)
- Large-scale predictions of gram-negative bacterial protein subcellular locations. (2006) (132)
- pLoc-mGpos: Incorporate Key Gene Ontology Information into General PseAAC for Predicting Subcellular Localization of Gram-Positive Bacterial Proteins (2017) (132)
- Virus-mPLoc: A Fusion Classifier for Viral Protein Subcellular Location Prediction by Incorporating Multiple Sites (2010) (132)
- Support vector machines for predicting HIV protease cleavage sites in protein (2002) (130)
- Boosting classifier for predicting protein domain structural class. (2005) (129)
- Prediction of G-protein-coupled receptor classes. (2005) (129)
- A new hybrid approach to predict subcellular localization of proteins by incorporating gene ontology. (2003) (129)
- Molecular therapeutic target for type-2 diabetes. (2004) (128)
- 2D-MH: A web-server for generating graphic representation of protein sequences based on the physicochemical properties of their constituent amino acids. (2010) (126)
- Energetic approach to the packing of α-helices. II: General treatment of nonequivalent and nonregular helices (1984) (125)
- Solitary wave dynamics as a mechanism for explaining the internal motion during microtubule growth (1994) (124)
- Prediction of the tertiary structure and substrate binding site of caspase‐8 (1997) (123)
- Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image. (2008) (121)
- PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy (2018) (120)
- Quokka: a comprehensive tool for rapid and accurate prediction of kinase family‐specific phosphorylation sites in the human proteome (2018) (120)
- Insights from investigating the interaction of oseltamivir (Tamiflu) with neuraminidase of the 2009 H1N1 swine flu virus. (2009) (119)
- POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles (2017) (119)
- Insights from modelling the 3D structure of the extracellular domain of alpha7 nicotinic acetylcholine receptor. (2004) (119)
- Wenxiang: a web-server for drawing wenxiang diagrams (2011) (119)
- Recent advances in QSAR and their applications in predicting the activities of chemical molecules, peptides and proteins for drug design. (2008) (118)
- Pse-Analysis: a python package for DNA/RNA and protein/peptide sequence analysis based on pseudo components and kernel methods (2017) (118)
- GPCR-2L: predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions. (2011) (118)
- Support vector machines for prediction of protein subcellular location by incorporating quasi‐sequence‐order effect (2002) (116)
- iROS-gPseKNC: Predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition (2016) (116)
- Virtual Screening for SARS-CoV Protease Based on KZ7088 Pharmacophore Points (2004) (115)
- HIVcleave: a web-server for predicting human immunodeficiency virus protease cleavage sites in proteins. (2008) (115)
- iCDI-PseFpt: identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprints. (2013) (114)
- iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC (2018) (113)
- Prediction of enzyme family classes. (2003) (112)
- Prediction of protein signal sequences and their cleavage sites (2001) (112)
- Coupling interaction between thromboxane A2 receptor and alpha-13 subunit of guanine nucleotide-binding protein. (2005) (112)
- pLoc_bal‐mAnimal: predict subcellular localization of animal proteins by balancing training dataset and PseAAC (2018) (112)
- Energetics of the structure of the four-alpha-helix bundle in proteins. (1988) (112)
- Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo-amino acid composition. (2003) (111)
- Using deformation energy to analyze nucleosome positioning in genomes. (2016) (109)
- Modelling extracellular domains of GABA-A receptors: subtypes 1, 2, 3, and 5. (2004) (109)
- PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework. (2018) (108)
- pLoc_bal-mGpos: Predict subcellular localization of Gram-positive bacterial proteins by quasi-balancing training dataset and PseAAC. (2019) (108)
- 3D structure modeling of cytochrome P450 2C19 and its implication for personalized drug design. (2007) (108)
- iGPCR-Drug: A Web Server for Predicting Interaction between GPCRs and Drugs in Cellular Networking (2013) (107)
- iRNA-2methyl: Identify RNA 2'-O-methylation Sites by Incorporating Sequence-Coupled Effects into General PseKNC and Ensemble Classifier. (2017) (107)
- Novel Inhibitor Design for Hemagglutinin against H1N1 Influenza Virus by Core Hopping Method (2011) (106)
- Prediction of protein folding rates from primary sequence by fusing multiple sequential features (2009) (105)
- Predicting protein localization in budding Yeast (2005) (105)
- Artificial neural network method for predicting HIV protease cleavage sites in protein. (1998) (105)
- iPhosY-PseAAC: identify phosphotyrosine sites by incorporating sequence statistical moments into PseAAC (2018) (104)
- Predicting membrane protein types by the LLDA algorithm. (2008) (103)
- Predicting protein fold pattern with functional domain and sequential evolution information. (2009) (102)
- Predicting membrane protein type by functional domain composition and pseudo-amino acid composition. (2006) (101)
- NR-2L: A Two-Level Predictor for Identifying Nuclear Receptor Subfamilies Based on Sequence-Derived Features (2011) (99)
- SPalmitoylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-palmitoylation sites in proteins. (2019) (99)
- Predicting subcellular localization of proteins in a hybridization space (2004) (99)
- Prediction of protein secondary structure content. (1999) (99)
- Collective motion in DNA and its role in drug intercalation (1988) (99)
- A probability cellular automaton model for hepatitis B viral infections. (2006) (98)
- Predicting protein subcellular location by fusing multiple classifiers (2006) (98)
- SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins. (2019) (97)
- Design Novel Dual Agonists for Treating Type-2 Diabetes by Targeting Peroxisome Proliferator-Activated Receptors with Core Hopping Approach (2012) (97)
- An application of gene comparative image for predicting the effect on replication ratio by HBV virus gene missense mutation. (2005) (97)
- Progress in computational approach to drug development against SARS. (2006) (97)
- Predicting protein structural class with AdaBoost Learner. (2006) (96)
- Prediction of Protein Domain with mRMR Feature Selection and Analysis (2012) (95)
- In-depth comparison of somatic point mutation callers based on different tumor next-generation sequencing depth data (2016) (95)
- Gpos-mPLoc: a top-down approach to improve the quality of predicting subcellular localization of Gram-positive bacterial proteins. (2009) (95)
- Bio-support vector machines for computational proteomics (2004) (94)
- An in-depth analysis of the biological functional studies based on the NMR M2 channel structure of influenza A virus. (2008) (94)
- Low-frequency motions in protein molecules. Beta-sheet and beta-barrel. (1985) (94)
- Advance in predicting subcellular localization of multi-label proteins and its implication for developing multi-target drugs. (2019) (93)
- Using discriminant function for prediction of subcellular location of prokaryotic proteins. (1998) (92)
- Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors (2018) (91)
- iATC-mISF: a multi-label classifier for predicting the classes of anatomical therapeutic chemicals (2017) (91)
- Recent Progress in Predicting Posttranslational Modification Sites in Proteins. (2015) (90)
- Classification and Analysis of Regulatory Pathways Using Graph Property, Biochemical and Physicochemical Property, and Functional Property (2011) (89)
- Low-frequency vibrations of DNA molecules. (1984) (89)
- Molecular modeling of two CYP2C19 SNPs and its implications for personalized drug design. (2008) (88)
- iPPI-PseAAC(CGR): Identify protein-protein interactions by incorporating chaos game representation into PseAAC. (2019) (88)
- Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach (2015) (88)
- Predicting enzyme family classes by hybridizing gene product composition and pseudo-amino acid composition. (2005) (88)
- Predicting enzyme subclass by functional domain composition and pseudo amino acid composition. (2005) (87)
- dRHP-PseRA: detecting remote homology proteins using profile-based pseudo protein sequence and rank aggregation (2016) (87)
- QuatIdent: a web server for identifying protein quaternary structural attribute by fusing functional domain and sequential evolution information. (2009) (86)
- iNR-PhysChem: A Sequence-Based Predictor for Identifying Nuclear Receptors and Their Subfamilies via Physical-Chemical Property Matrix (2012) (85)
- iEzy-Drug: A Web Server for Identifying the Interaction between Enzymes and Drugs in Cellular Networking (2013) (84)
- Role of interchain interactions in the stabilization of the right-handed twist of beta-sheets. (1983) (84)
- Unified QSAR approach to antimicrobials. 4. Multi-target QSAR modeling and comparative multi-distance study of the giant components of antiviral drug-drug complex networks. (2009) (84)
- Prediction of protein signal sequences. (2002) (83)
- Large-scale comparative assessment of computational predictors for lysine post-translational modification sites (2018) (83)
- Molecular dynamics studies on the interactions of PTP1B with inhibitors: from the first phosphate-binding site to the second one. (2009) (83)
- Molecular modeling of cytochrome P450 and drug metabolism. (2010) (83)
- MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters (2019) (83)
- Using grey dynamic modeling and pseudo amino acid composition to predict protein structural classes (2008) (82)
- Prediction of the Tertiary Structure of the β-Secretase Zymogen☆ (2002) (82)
- Predicting enzyme family class in a hybridization space (2004) (82)
- pLoc_bal-mHum: Predict subcellular localization of human proteins by PseAAC and quasi-balancing training dataset. (2019) (81)
- Insight into the molecular switch mechanism of human Rab5a from molecular dynamics simulations. (2009) (80)
- Insights from modeling the 3D structure of H5N1 influenza virus neuraminidase and its binding interactions with ligands. (2006) (80)
- Predicting subcellular localization of proteins by hybridizing functional domain composition and pseudo‐amino acid composition (2004) (80)
- The biological functions of low‐frequency vibrations (phonons). VI. A possible dynamic mechanism of allosteric transition in antibody molecules (1987) (79)
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- Automated Prediction of Protein Attributes and Its Impact on Biomedicine and Drug Discovery (2009) (7)
- Nucleosome positioning based on the sequence word composition. (2012) (7)
- Sequence analysis iEnhancer-2 L : a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition (2016) (7)
- Prediction of beta-turns with learning machines. (2003) (6)
- Study of Inhibitors Against SARS Coronavirus by Computational Approaches (2009) (6)
- A novel sequence-based method for phosphorylation site prediction with feature selection and analysis. (2012) (6)
- Showcase to Illustrate How the Web-Server pLoc_Deep-mEuk Is Working (2020) (5)
- Molecular Modeling Studies on NADP-Dependence of Candida Tropicalis Strain Xylose Reductase~!2008-09-23~!2008-11-10~!2008-12-04~! (2008) (5)
- Remote Data Retrieval for Bioinformatics Applications: An Agent Migration Approach (2011) (5)
- DNAPred_Prot: Identification of DNA-Binding Proteins Using Composition- and Position-Based Features (2022) (5)
- THE KINETICS OF THE COMBINATION REACTION BETWEEN ENZYME AND SUBSTRATE——I.STOCHASTIC ANALYSIS,ACTIVATION ENERGY AND MULTIPLE-ACTIVE-SITE (1976) (5)
- Comparative Study of Topological Indices of Macro/Supramolecular RNA Complex Networks. (2009) (5)
- SCYPPred: a web-based predictor of SNPs for human cytochrome P450. (2012) (5)
- Additions and Corrections - Energetic Approach to the Packing of α-Helices. 2. General Treatment of Nonequivalent and Nonregular Helices. (1985) (5)
- Correlation of Metabolic Pathways with the Primary Structure in Acetylated Proteins (2008) (5)
- The Chemical Mechanism of Pestilences or Coronavirus Disease 2019 (COVID-19) (2020) (4)
- Singular points of protein β‐sheets (1998) (4)
- Monte Carlo simulation studies on the prediction of protein folding types from amino acid composition (1995) (4)
- Short Communication Prediction of protein structural classes by support vector machines (2002) (4)
- Knowledge-based computational intelligence development for predicting protein secondary structures from sequences (2008) (4)
- Antithrombin, an Important Inhibitor in Blood Clots. (2015) (4)
- Recent Advances in Predicting G-Protein Coupled Receptor Classification (2012) (4)
- STUDIES ON THE ENZYME KINETICS OF THE CAVITY-ACTIVE SITE (1975) (4)
- Low-frequency vibrations ofDNA molecules (1984) (4)
- Geometric and energy parameters in lysine-retinal chromophores. (1991) (4)
- Advances in visual representation of molecular potentials (2010) (4)
- An insightful recollection for predicting protein subcellular locations in multi-label systems. (2019) (4)
- Insight into a molecular interaction force supporting peptide backbones and its implication to protein loops and folding (2014) (4)
- A TRIBUTE TO A LIVING LEGEND (Special Issue in Honor of the 70th Birthday of Dr. Atta-ur-Rahman.) (2012) (4)
- Analysis of the loop-helix interaction in bundle motif protein structures (1995) (4)
- Beat motion in DNA double helix and a mechanism of energy exchange between its two strands with microwave frequency (1996) (4)
- The Topological Entropy Mechanism of Coronavirus Disease 2019 (COVID-19) (2020) (3)
- Alignment-Free Models in Plant Genomics: Theoretical, Experimental, and Legal Issues (2010) (3)
- How the artificial intelligence tool iSuc-PseOpt is working for predicting lysine succinylation sites in proteins (2020) (3)
- Gordon Life Science Institute and Its Impacts on Computational Biology and Drug Development (2020) (3)
- Two Latest Hot Researches in Medicinal Chemistry. (2020) (3)
- Feedforward Augmentation of Internal Model Control for Tracking (1993) (3)
- The preliminary efficacy evaluation of the CTLA-4-Ig treatment against Lupus nephritis through in-silico analyses. (2019) (3)
- The Significant and Profound Impacts of Chou’s 5-Steps Rule (2020) (3)
- Roles of L5-7 loop in the structure and chaperone function of SsHSP14.1. (2011) (3)
- LOW-FREQUENCY MOTIONS IN PROTEIN MOLECULES A-Sheet and ,3-Barrel (2005) (3)
- Recent Novel High-Tech Researches in Molecular Biology (2015) (3)
- Prediction of Seven Protein Structural Classes by Fusing Multi-Feature Information Including Protein Evolutionary Conservation Information (2008) (3)
- Chiral Features of Proteins (1991) (3)
- Predicting protein-ligand binding sites based on an improved geometric algorithm. (2011) (3)
- Molecular Modeling of CYP Proteins and its Implication for Personal Drug Design (2009) (2)
- Noah’s Ark and Internet Institutes: When and Why? (2020) (2)
- Recent Progress of Bioinformatics in Membrane Protein Structural Studies (2009) (2)
- Reply from K.-C.Chou: The role of loops in stabilizing bundle motif protein structures (1991) (2)
- The Remarkable Impacts of Gordon Life Science Institute (2021) (2)
- pLoc_Deep-mGpos: Predict Subcellular Localization of Gram Positive Bacteria Proteins by Deep Learning (2020) (2)
- The Pandemic Pestilences and Internet Institutes (2020) (2)
- Frontiers in Protein and Peptide Sciences (2014) (2)
- An Improved Algorithm for Estimation of Residue Evolutionary Conservation (2007) (2)
- Coronavirus and Gordon Life Science Institute (2020) (2)
- The Implication of “I Am the Alpha and the Omega” to Internet Institutes (2020) (2)
- Revisiting the paper on “Applications of graph theory to enzyme kinetics and protein folding kinetics: steady and non-steady state systems” (2020) (1)
- Identification oflow-frequency modesinprotein molecules (1983) (1)
- Molecular simulation to investigate the cofactor specificity for pichia stipitis Xylose reductase. (2013) (1)
- Erratum to "pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC" [Gene 628 (2017) 315-321]. (2018) (1)
- Psychosis and Gestational Influenza: Meta-Analysis (2015) (1)
- Energetic approach to the folding of four alpha-helices connected sequentially. (1990) (1)
- Bioinformatical Analysis of G-Protein-Coupled ReceptorsJ. Proteome Res.2002,1, (2003) (1)
- The Significant and Profound Impacts of Chou’s “wenxiang” Diagram (2020) (1)
- A Novel Approach Predicting the Signal Peptides and Their Cleavage Sites (2007) (1)
- The nonlinear stretching model of hydrogen bonds and local self-fluctuation of base rotation in DNA (1995) (1)
- RETRACTED ARTICLE: An insightful 20-year recollection since the birth of pseudo amino acid components (2020) (1)
- Identification of Secretory Proteins by Separated Space Based Linear Discriminant Analysis (2008) (1)
- Computer Modeling of Constrained Peptide Systems (1992) (1)
- Showcase to Illustrate How the Web-Server iSulf_Wide-PseAAC Is Working (2020) (1)
- PhoglyStruct: Prediction of phosphoglycerylated lysine residues using structural properties of amino acids (2018) (1)
- STUDIES ON THE COMBINATION RATES OF LIQUID PHASE FAST REACTION SYSTEMS——STEADY STATE PROCESS AND TRANSIENT PHASE PROCESS (1977) (1)
- How the Artificial Intelligence Tool pSumo-CD is Working for Predicting Sumoylation Sites in Proteins (2020) (1)
- Positive-unlabelled learning of glycosylation sites in the human proteome (2019) (1)
- Metagenome Assembly Validation: Which Metagenome Contigs are Bona Fide? (2013) (1)
- Recent Progresses for Computationally Identifying N6-methyladenosine Sites in Saccharomyces cerevisiae (2020) (1)
- How the artificial intelligence tool iPGK-PseAAC is working in predicting lysine phosphoglycerylation sites in proteins (2020) (1)
- The End of Our Earth Is Certainly to Come: “When”? and “Why”? (2020) (1)
- Research/review: Structure and linkage disequilibrium analysis of adamantane resistant mutations in influenza virus m2 proton channel. (2014) (1)
- 2010 TCBB Reviewers List (2011) (0)
- The Significant and Profound Impacts of Chou’s Invariance Theorem (2020) (0)
- The Significant and Profound Impacts of Protein Subcellular Localization Prediction (2021) (0)
- PCA for predicting quaternary structure of protein (2008) (0)
- Proposal of Pseudo Amino Acid Composition and Its Impacts and Profound Influence (2021) (0)
- Preface [HotTopic: Biomedical Science (Guest Editor: Kuo-Chen Chou)] (2004) (0)
- 2009 Reviewer's List (2010) (0)
- Analyze the Role of "Pseudo Amino Acid Composition" in Stimulating the Drug Development (Short Communication) (2020) (0)
- Psychosis and Gestational Influenza (2015) (0)
- Some Opinions or Comments on the Five Important Papers Published Recently (2021) (0)
- Origin of the right-handed twist of beta-sheets of poly-L-valine chains (2020) (0)
- Prediction of Membrane Protein Types by Incorporating Amphipatic Effects. (2005) (0)
- Meet Our Regional Editor (2016) (0)
- Natural Science, 2017 (2020) (0)
- Navigation iPTM-mLys : identifying multiple lysine PTM sites and their di � erent types (2017) (0)
- Short communication Support Vector Machine for predicting -turn types (2003) (0)
- Trends in medicinal chemistry. (2017) (0)
- Some illuminating remarks on molecular genetics and genomics as well as drug development (2020) (0)
- The Significant and Profound Impacts of the Studies on the Rate of Diffusion-Controlled Reactions of Enzyme (2020) (0)
- Prediction of Protein Quaternary Structures (2015) (0)
- A Stimulating Recollection of Chou’s Graph Theory in Enzyme Kinetics (2020) (0)
- Revisiting the Paper “Origin of the Right-Handed Twist ofBeta-Sheets of Poly-L-Valine Chains” (2020) (0)
- The Significant and Profound Impacts of Chou’s Pseudo Amino Acid Composition or PseAAC (2020) (0)
- Reply to “Comment on the recent prediction of a microwave beat motion in DNA [Chem. Phys., 206 (1996) 271]” (1998) (0)
- The Significant and Profound Impacts of Chou’s Distorted Key Theory for Developing Peptide Drugs (2020) (0)
- 2012 Reviewers List (2013) (0)
- Sequence analysis iPromoter-2 L : a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC (2017) (0)
- A Stimulating Recollection of Low-Frequency Internal Motions (Phonons) in Biomacromolecules (2020) (0)
- News and Announcement (1990) (0)
- The Significant and Profound Impacts of Gordon Life Science Institute (2020) (0)
- Revisiting the paper on “Prediction of Tight Turns andtheir Types in Proteins” (2020) (0)
- A Study of Work Performance Influence by Communication Process, Interactivity and Relation Network on Software Project Development Team - An Example of Bank in Taiwan (2018) (0)
- Editorial [Hot Topic: Biomedicine & Bioinformatics (Guest Editor: Kuo-Chen Chou)] (2005) (0)
- https://researchopenworld.com/the-significant-and-profound-impacts-of-pseudo-k-tuple-nucleotide-composition/# (2020) (0)
- Analyze the Role of the “5-Steps Rule” Guidelines in Stimulating the Drug Development (Short Communication) (2020) (0)
- Minimal and optimal subsites set of HIV-1 protease cleavage site based on rough set (2011) (0)
- Artificial neural network model for predicting alpha-turn types. (1999) (0)
- A Novel Modeling in Mathematical Biology for Classification of Signal Peptides (2018) (0)
- repRNA: a web server for generating various feature vectors of RNA sequences (2015) (0)
- Progresses in Predicting Post-translational Modification (2019) (0)
- A Two-Level Computation Model Based on Deep Learning Algorithm for Identification of piRNA and Their Functions via Chou’s 5-Steps Rule (2019) (0)
- Online Supporting Information S6 (2010) (0)
- Proposing Pseudo Amino Acid Components is an Important Milestone for Proteome and Genome Analyses (2019) (0)
- Meet Our Editorial Board Member (2018) (0)
- REVISITING THE PAPER ON “PREDICTION OF HUMAN IMMUNODEFICIENCY VIRUS PROTEASE CLEAVAGE SITES IN PROTEINS” (2020) (0)
- Running Title: Showcase for iPreny-PseAAC (2020) (0)
- A tribute to a living legend. (2012) (0)
- Humble Opinions on the Five Very Important Papers (2021) (0)
- Diudea Prediction of Protein Structural Classes by a Neural Network Method (2002) (0)
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