iMethyl-PseAAC: Identification of Protein Methylation Sites via a Pseudo Amino Acid Composition Approach

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

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

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

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

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

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

(2013) Xuan Xiao et al.   ANALYTICAL BIOCHEMISTRY

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

(2013) Dong-Sheng Cao et al.   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

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

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

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

Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning

(2012) Suyu Mei   JOURNAL OF THEORETICAL BIOLOGY

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

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

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Wavelet images and Chou’s pseudo amino acid composition for protein classification

(2011) Loris Nanni et al.   AMINO ACIDS

Prediction and analysis of protein methylarginine and methyllysine based on multi sequence features

(2011) Le-Le Hu et al.   BIOPOLYMERS

Environmental regulation of the neural epigenome

(2011) Christian Caldji et al.   FEBS 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

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-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

Histone lysine methylation and demethylation pathways in cancer

(2010) Radhika A. Varier et al.   BIOCHIMICA ET BIOPHYSICA ACTA-REVIEWS ON CANCER

A new encoding technique for peptide classification

(2010) Loris Nanni et al.   EXPERT SYSTEMS WITH APPLICATIONS

Epigenetics meets endocrinology

(2010) X. Zhang et al.   JOURNAL OF MOLECULAR ENDOCRINOLOGY

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

GPCR-2L: predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions

(2010) Xuan Xiao et al.   Molecular BioSystems

Incorporating structural characteristics for identification of protein methylation sites

(2009) Dray-Ming Shien et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

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

Computational Identification of Protein Methylation Sites through Bi-Profile Bayes Feature Extraction

(2009) Jianlin Shao et al.   PLoS One