pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC

Unb-DPC: Identify mycobacterial membrane protein types by incorporating un-biased dipeptide composition into Chou's general PseAAC

(2017) Muslim Khan et al.   JOURNAL OF THEORETICAL BIOLOGY

OOgenesis_Pred: A sequence-based method for predicting oogenesis proteins by six different modes of Chou's pseudo amino acid composition

(2017) Maryam Rahimi et al.   JOURNAL OF THEORETICAL BIOLOGY

iPGK-PseAAC: Identify Lysine Phosphoglycerylation Sites in Proteins by Incorporating Four Different Tiers of Amino Acid Pairwise Coupling Information into the General PseAAC

(2017) Li-Ming Liu et al.   Medicinal Chemistry

iPreny-PseAAC: Identify C-terminal Cysteine Prenylation Sites in Proteins by Incorporating Two Tiers of Sequence Couplings into PseAAC

(2017) Yan Xu et al.   Medicinal Chemistry

iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals

(2017) Xiang Cheng et al.   Oncotarget

iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC

(2017) Pengmian Feng et al.   Molecular Therapy-Nucleic Acids

2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function

(2017) Bin Liu et al.   Molecular Therapy-Nucleic Acids

Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC

(2017) Prabina Kumar Meher et al.   Scientific Reports

pRNAm-PC: Predicting N6-methyladenosine sites in RNA sequences via physical–chemical properties

(2016) Zi Liu et al.   ANALYTICAL BIOCHEMISTRY

iPTM-mLys: identifying multiple lysine PTM sites and their different types

(2016) Wang-Ren Qiu et al.   BIOINFORMATICS

pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach

(2016) Jianhua Jia et al.   JOURNAL OF THEORETICAL BIOLOGY

iNuc-STNC: a sequence-based predictor for identification of nucleosome positioning in genomes by extending the concept of SAAC and Chou's PseAAC

(2016) Muhammad Tahir et al.   Molecular BioSystems

iPhos-PseEn: Identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier

(2016) Wang-Ren Qiu et al.   Oncotarget

iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC

(2016) Wang-Ren Qiu et al.   Oncotarget

iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC

(2016) Jianhua Jia et al.   Oncotarget

dRHP-PseRA: detecting remote homology proteins using profile-based pseudo protein sequence and rank aggregation

(2016) Junjie Chen et al.   Scientific Reports

Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC

(2015) Saeed Ahmad et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Classification of membrane protein types using Voting Feature Interval in combination with Chou׳s Pseudo Amino Acid Composition

(2015) Farman Ali et al.   JOURNAL OF THEORETICAL BIOLOGY

iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC

(2015) Jianhua Jia et al.   JOURNAL OF THEORETICAL BIOLOGY

Impacts of Bioinformatics to Medicinal Chemistry

(2015) Kuo-Chen Chou   Medicinal Chemistry

Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences

(2015) Wei Chen et al.   Molecular BioSystems

Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

(2015) Bin Liu et al.   NUCLEIC ACIDS RESEARCH

Chou׳s pseudo amino acid composition improves sequence-based antifreeze protein prediction

(2014) Sukanta Mondal et al.   JOURNAL OF THEORETICAL BIOLOGY

iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition

(2014) Yan Xu et al.   PLoS One

iAMP-2L: A two-level multi-label classifier for identifying antimicrobial peptides and their functional types

(2013) Xuan Xiao et al.   ANALYTICAL BIOCHEMISTRY

Predict Subcellular Locations of Singleplex and Multiplex Proteins by Semi-Supervised Learning and Dimension-Reducing General Mode of Chou's PseAAC

(2013) Eakasit Pacharawongsakda et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

GOASVM: A subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition

(2013) Shibiao Wan et al.   JOURNAL OF THEORETICAL BIOLOGY

iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins

(2013) Wei-Zhong Lin et al.   Molecular BioSystems

Some remarks on predicting multi-label attributes in molecular biosystems

(2013) Kuo-Chen Chou   Molecular BioSystems

iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteineS-nitrosylation sites in proteins

(2013) Yan Xu et al.   PeerJ

Identifying Bacterial Virulent Proteins by Fusing a Set of Classifiers Based on Variants of Chou's Pseudo Amino Acid Composition and on Evolutionary Information

(2011) Loris Nanni et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

iLoc-Virus: A multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites

(2011) Xuan Xiao et al.   JOURNAL OF THEORETICAL BIOLOGY

Prediction of GABAA receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine

(2011) Hassan Mohabatkar et al.   JOURNAL OF THEORETICAL BIOLOGY

iLoc-Plant: a multi-label classifier for predicting the subcellular localization of plant proteins with both single and multiple sites

(2011) Zhi-Cheng Wu et al.   Molecular BioSystems

iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites

(2011) Kuo-Chen Chou et al.   Molecular BioSystems

iLoc-Euk: A Multi-Label Classifier for Predicting the Subcellular Localization of Singleplex and Multiplex Eukaryotic Proteins

(2011) Kuo-Chen Chou et al.   PLoS One

A Multi-Label Classifier for Predicting the Subcellular Localization of Gram-Negative Bacterial Proteins with Both Single and Multiple Sites

(2011) Xuan Xiao et al.   PLoS One

Some remarks on protein attribute prediction and pseudo amino acid composition

(2010) Kuo-Chen Chou   JOURNAL OF THEORETICAL BIOLOGY

Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization

(2010) Kuo-Chen Chou et al.   PLoS One

A New Method for Predicting the Subcellular Localization of Eukaryotic Proteins with Both Single and Multiple Sites: Euk-mPLoc 2.0

(2010) Kuo-Chen Chou et al.   PLoS One

A top-down approach to enhance the power of predicting human protein subcellular localization: Hum-mPLoc 2.0

(2009) Hong-Bin Shen et al.   ANALYTICAL BIOCHEMISTRY

Pseudo Amino Acid Composition and its Applications in Bioinformatics, Proteomics and System Biology

(2009) Kuo-Chen Chou   Current Proteomics

Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses

(2009) Maryam Esmaeili et al.   JOURNAL OF THEORETICAL BIOLOGY

The modified Mahalanobis Discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition

(2008) Hao Lin   JOURNAL OF THEORETICAL BIOLOGY

Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms

(2008) Kuo-Chen Chou et al.   Nature Protocols

Predicting Membrane Protein Types by the LLDA Algorithm

(2008) Tong Wang et al.   PROTEIN AND PEPTIDE LETTERS