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

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

(2013) Dong-Sheng Cao et al.   BIOINFORMATICS

iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition

(2013) Wei Chen et al.   NUCLEIC ACIDS RESEARCH

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

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

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

Hepatitis C Virus Network Based Classification of Hepatocellular Cirrhosis and Carcinoma

(2012) Tao Huang et al.   PLoS One

Identification of Colorectal Cancer Related Genes with mRMR and Shortest Path in Protein-Protein Interaction Network

(2012) Bi-Qing Li 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

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

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

A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction

(2010) Sitanshu Sekhar Sahu et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Some remarks on protein attribute prediction and pseudo amino acid composition

(2010) Kuo-Chen Chou   JOURNAL OF THEORETICAL BIOLOGY

Prediction of Cyclin Proteins Using Chous Pseudo Amino Acid Composition

(2010) Hassan Mohabatkar   PROTEIN AND PEPTIDE LETTERS

Prediction of protein binding sites in protein structures using hidden Markov support vector machine

(2009) Bin Liu et al.   BMC BIOINFORMATICS

Exploiting three kinds of interface propensities to identify protein binding sites

(2009) Bin Liu et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

QuatIdent: A Web Server for Identifying Protein Quaternary Structural Attribute by Fusing Functional Domain and Sequential Evolution Information

(2009) Hong-Bin Shen et al.   JOURNAL OF PROTEOME RESEARCH

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

ProtIdent: A web server for identifying proteases and their types by fusing functional domain and sequential evolution information

(2008) Kuo-Chen Chou et al.   BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

A discriminative method for protein remote homology detection and fold recognition combining Top-n-grams and latent semantic analysis

(2008) Bin Liu et al.   BMC BIOINFORMATICS

Predicting protein fold pattern with functional domain and sequential evolution information

(2008) Hong-Bin Shen et al.   JOURNAL OF THEORETICAL BIOLOGY

Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition

(2008) D.N. Georgiou et al.   JOURNAL OF THEORETICAL BIOLOGY

Predicting enzyme family class in a hybridization space

(2004) Kuo-Chen Chou et al.   PROTEIN SCIENCE