iDNA-Prot|dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid Composition

PseKNC: A flexible web server for generating pseudo K-tuple nucleotide composition

(2014) Wei Chen et al.   ANALYTICAL BIOCHEMISTRY

iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition

(2014) Shou-Hui Guo et al.   BIOINFORMATICS

Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou's general PseAAC and Support Vector Machine

(2014) Maqsood Hayat et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

iNR-Drug: Predicting the Interaction of Drugs with Nuclear Receptors in Cellular Networking

(2014) Yue-Nong Fan et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets

(2014) Pufeng Du et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

iHyd-PseAAC: Predicting Hydroxyproline and Hydroxylysine in Proteins by Incorporating Dipeptide Position-Specific Propensity into Pseudo Amino Acid Composition

(2014) Yan Xu et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components

(2014) Wang-Ren Qiu et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

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

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

Sequence Based Prediction of DNA-Binding Proteins Based on Hybrid Feature Selection Using Random Forest and Gaussian Naïve Bayes

(2014) Wangchao Lou et al.   PLoS One

iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels

(2014) Hui Ding et al.   Biomed Research International

iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition

(2014) Wei Chen et al.   Biomed Research International

iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition

(2013) Peng-Mian Feng et al.   ANALYTICAL BIOCHEMISTRY

Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection

(2013) Bin Liu et al.   BIOINFORMATICS

propy: a tool to generate various modes of Chou’s PseAAC

(2013) Dong-Sheng Cao et al.   BIOINFORMATICS

An improved sequence based prediction protocol for DNA-binding proteins using SVM and comprehensive feature analysis

(2013) Chuanxin Zou et al.   BMC BIOINFORMATICS

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

iCDI-PseFpt: Identify the channel–drug interaction in cellular networking with PseAAC and molecular fingerprints

(2013) Xuan Xiao et al.   JOURNAL OF THEORETICAL BIOLOGY

Predicting anticancer peptides with Chou′s pseudo amino acid composition and investigating their mutagenicity via Ames test

(2013) Zohre Hajisharifi et al.   JOURNAL OF THEORETICAL BIOLOGY

Accurate prediction of protein structural classes by incorporating predicted secondary structure information into the general form of Chou's pseudo amino acid composition

(2013) Liang Kong et al.   JOURNAL OF THEORETICAL BIOLOGY

Some remarks on predicting multi-label attributes in molecular biosystems

(2013) Kuo-Chen Chou   Molecular BioSystems

Protein Remote Homology Detection by Combining Chou’s Pseudo Amino Acid Composition and Profile-Based Protein Representation

(2013) Bin Liu et al.   Molecular Informatics

iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition

(2013) Yan Xu et al.   PLoS One

iGPCR-Drug: A Web Server for Predicting Interaction between GPCRs and Drugs in Cellular Networking

(2013) Xuan Xiao et al.   PLoS One

Predicting Antibacterial Peptides by the Concept of Chou's Pseudo-amino Acid Composition and Machine Learning Methods

(2013) Maede Khosravian et al.   PROTEIN AND PEPTIDE LETTERS

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

(2013) Yan Xu et al.   PeerJ

PseAAC-Builder: A cross-platform stand-alone program for generating various special Chou’s pseudo-amino acid compositions

(2012) Pufeng Du et al.   ANALYTICAL BIOCHEMISTRY

Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search

(2012) Andrea Szabóová et al.   BMC BIOINFORMATICS

DNA-Prot: Identification of DNA Binding Proteins from Protein Sequence Information using Random Forest

(2012) K. Krishna. Kumar et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou’s pseudo amino acid composition

(2012) Yen-Kuang Chen et al.   JOURNAL OF THEORETICAL BIOLOGY

Prediction of Allergenic Proteins by Means of the Concept of Chou's Pseudo Amino Acid Composition and a Machine Learning Approach

(2012) Hassan Mohabatkar et al.   Medicinal Chemistry

Identifying protein quaternary structural attributes by incorporating physicochemical properties into the general form of Chou's PseAAC via discrete wavelet transform

(2012) Xing-Yu Sun et al.   Molecular BioSystems

iNR-PhysChem: A Sequence-Based Predictor for Identifying Nuclear Receptors and Their Subfamilies via Physical-Chemical Property Matrix

(2012) Xuan Xiao et al.   PLoS One

Using Amino Acid Physicochemical Distance Transformation for Fast Protein Remote Homology Detection

(2012) Bin Liu et al.   PLoS One

iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties

(2012) Wei Chen et al.   PLoS One

Prediction of Apoptosis Protein Locations with Genetic Algorithms and Support Vector Machines Through a New Mode of Pseudo Amino Acid Composition

(2012) Krishna Kumar Kandaswamy et al.   PROTEIN AND PEPTIDE LETTERS

Identifying GPCRs and their Types with Chou's Pseudo Amino Acid Composition: An Approach from Multi-scale Energy Representation and Position Specific Scoring Matrix

(2012) Zia-ur-Rehman et al.   PROTEIN AND PEPTIDE LETTERS

Discriminating Outer Membrane Proteins with Fuzzy K-Nearest Neighbor Algorithms Based on the General Form of Chou’s PseAAC

(2012) Maqsood Hayat et al.   PROTEIN AND PEPTIDE LETTERS

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

Structural and Mutational Studies of a Hyperthermophilic Intein from DNA Polymerase II ofPyrococcus abyssi

(2011) Zhenming Du et al.   JOURNAL OF BIOLOGICAL CHEMISTRY

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

iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model

(2011) Wei-Zhong Lin et al.   PLoS One

Supersecondary structure prediction using Chou's pseudo amino acid composition

(2010) Dongsheng Zou et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties

(2010) Krishna Kumar Kandaswamy et al.   JOURNAL OF THEORETICAL BIOLOGY

Some remarks on protein attribute prediction and pseudo amino acid composition

(2010) Kuo-Chen Chou   JOURNAL OF THEORETICAL BIOLOGY

Boosting the prediction and understanding of DNA-binding domains from sequence

(2010) R. E. Langlois et al.   NUCLEIC ACIDS RESEARCH

Prediction of Cyclin Proteins Using Chous Pseudo Amino Acid Composition

(2010) Hassan Mohabatkar   PROTEIN AND PEPTIDE LETTERS

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

Reduced amino acid alphabets exhibit an improved sensitivity and selectivity in fold assignment

(2009) Eric L. Peterson et al.   BIOINFORMATICS

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

A Threading-Based Method for the Prediction of DNA-Binding Proteins with Application to the Human Genome

(2009) Mu Gao et al.   PLoS Computational Biology

An ensemble of reduced alphabets with protein encoding based on grouped weight for predicting DNA-binding proteins

(2008) Loris Nanni et al.   AMINO ACIDS

Genetic programming for creating Chou’s pseudo amino acid based features for submitochondria localization

(2008) Loris Nanni et al.   AMINO ACIDS

A Novel Computational Approach To Predict Transcription Factor DNA Binding Preference

(2008) Yudong Cai et al.   JOURNAL OF PROTEOME RESEARCH

DBD-Hunter: a knowledge-based method for the prediction of DNA–protein interactions

(2008) Mu Gao et al.   NUCLEIC ACIDS RESEARCH

Predicting Membrane Protein Types by the LLDA Algorithm

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