A Multi-Label Predictor for Identifying the Subcellular Locations of Singleplex and Multiplex Eukaryotic Proteins

Virus-mPLoc: A Fusion Classifier for Viral Protein Subcellular Location Prediction by Incorporating Multiple Sites

(2012) Hong-Bin Shen et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

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

Prediction of Enzyme Subfamily Class via Pseudo Amino Acid Composition by Incorporating the Conjoint Triad Feature

(2012) Yong-Cui Wang et al.   PROTEIN AND PEPTIDE LETTERS

Using Pseudo Amino Acid Composition to Predict Protease Families by Incorporating a Series of Protein Biological Features

(2012) Lele Hu et al.   PROTEIN AND PEPTIDE LETTERS

CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition

(2011) Asifullah Khan et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Predicting protein folding rates using the concept of Chou's pseudo amino acid composition

(2011) Jianxiu Guo et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

OligoPred: A web-server for predicting homo-oligomeric proteins by incorporating discrete wavelet transform into Chou's pseudo amino acid composition

(2011) Jian-Ding Qiu et al.   JOURNAL OF MOLECULAR GRAPHICS & MODELLING

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-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

NR-2L: A Two-Level Predictor for Identifying Nuclear Receptor Subfamilies Based on Sequence-Derived Features

(2011) Pu Wang et al.   PLoS One

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

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

Identify Golgi Protein Types with Modified Mahalanobis Discriminant Algorithm and Pseudo Amino Acid Composition

(2011) Hui Ding et al.   PROTEIN AND PEPTIDE LETTERS

Using a Novel AdaBoost Algorithm and Chous Pseudo Amino Acid Composition for Predicting Protein Subcellular Localization

(2011) Jie Lin et al.   PROTEIN AND PEPTIDE LETTERS

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

Supersecondary structure prediction using Chou's pseudo amino acid composition

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

SecretP: Identifying bacterial secreted proteins by fusing new features into Chou’s pseudo-amino acid composition

(2010) Lezheng Yu et al.   JOURNAL OF THEORETICAL BIOLOGY

Gneg-mPLoc: A top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins

(2010) Hong-Bin Shen 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

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

Using the Concept of Chous Pseudo Amino Acid Composition to Predict Enzyme Family Classes: An Approach with Support Vector Machine Based on Discrete Wavelet Transform

(2010) Jian-Ding Qiu et al.   PROTEIN AND PEPTIDE LETTERS

Prediction of G-Protein-Coupled Receptor Classes in Low Homology Using Chous Pseudo Amino Acid Composition with Approximate Entropy and Hydrophobicity Patterns

(2010) Quan Gu et al.   PROTEIN AND PEPTIDE LETTERS

Prediction of Cyclin Proteins Using Chous Pseudo Amino Acid Composition

(2010) Hassan Mohabatkar   PROTEIN AND PEPTIDE LETTERS

Prediction of Subcellular Localization of Apoptosis Protein Using Chou’s Pseudo Amino Acid Composition

(2009) Hao Lin et al.   ACTA BIOTHEORETICA

Prediction of G-protein-coupled receptor classes based on the concept of Chou’s pseudo amino acid composition: An approach from discrete wavelet transform

(2009) Jian-Ding Qiu et al.   ANALYTICAL BIOCHEMISTRY

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 augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach

(2009) Yu-hong Zeng et al.   JOURNAL OF THEORETICAL BIOLOGY

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

Exploring the Function-Location Nexus: Using Multiple Lines of Evidence in Defining the Subcellular Location of Plant Proteins

(2009) A. H. Millar et al.   PLANT CELL

Prediction of Cell Wall Lytic Enzymes Using Chous Amphiphilic Pseudo Amino Acid Composition

(2009) Hui Ding et al.   PROTEIN AND PEPTIDE LETTERS

Prediction of Protein Secondary Structure Content by Using the Concept of Chous Pseudo Amino Acid Composition and Support Vector Machine

(2009) Chao Chen et al.   PROTEIN AND PEPTIDE LETTERS

Gpos-mPLoc: A Top-Down Approach to Improve the Quality of Predicting Subcellular Localization of Gram-Positive Bacterial Proteins

(2009) Hong-Bin Shen et al.   PROTEIN AND PEPTIDE LETTERS

Protein function annotation by homology-based inference

(2009) Yaniv Loewenstein et al.   GENOME BIOLOGY

Using Chou’s pseudo amino acid composition based on approximate entropy and an ensemble of AdaBoost classifiers to predict protein subnuclear location

(2008) Xiaoying Jiang et al.   AMINO ACIDS

Using Chou’s pseudo amino acid composition to predict protein quaternary structure: a sequence-segmented PseAAC approach

(2008) Shao-Wu Zhang et al.   AMINO ACIDS

Prediction of protein structural classes by Chou’s pseudo amino acid composition: approached using continuous wavelet transform and principal component analysis

(2008) Zhan-Chao Li 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

DBMLoc: a Database of proteins with multiple subcellular localizations

(2008) Song Zhang et al.   BMC BIOINFORMATICS

Predicting the cofactors of oxidoreductases based on amino acid composition distribution and Chou's amphiphilic pseudo-amino acid composition

(2008) Guang-Ya Zhang 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

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

Using AdaBoost for the prediction of subcellular location of prokaryotic and eukaryotic proteins

(2008) Bing Niu et al.   MOLECULAR DIVERSITY

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

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

Using Chou’s pseudo amino acid composition to predict subcellular localization of apoptosis proteins: An approach with immune genetic algorithm-based ensemble classifier

(2008) Yong-Sheng Ding et al.   PATTERN RECOGNITION LETTERS

Predicting Lipase Types by Improved Chous Pseudo-Amino Acid Composition

(2008) Guang-Ya Zhang et al.   PROTEIN AND PEPTIDE LETTERS

Predicting Subcellular Localization of Mycobacterial Proteins by Using Chous Pseudo Amino Acid Composition

(2008) Hao Lin et al.   PROTEIN AND PEPTIDE LETTERS

Using the Concept of Chous Pseudo Amino Acid Composition to Predict Apoptosis Proteins Subcellular Location: An Approach by Approximate Entropy

(2008) Xiaoying Jian et al.   PROTEIN AND PEPTIDE LETTERS

Predicting Protein Subcellular Location Using Chous Pseudo Amino Acid Composition and Improved Hybrid Approach

(2008) Feng-Min Li et al.   PROTEIN AND PEPTIDE LETTERS