EuLoc: a web-server for accurately predict protein subcellular localization in eukaryotes by incorporating various features of sequence segments into the general form of Chou’s PseAAC

dbSNO: a database of cysteine S-nitrosylation

(2012) Tzong-Yi Lee et al.   BIOINFORMATICS

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

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

Prediction of Protein Subcellular Multi-Localization Based on the General form of Chou’s Pseudo Amino Acid Composition

(2012) Li-Qi Li et al.   PROTEIN AND PEPTIDE LETTERS

Dual-Layer Wavelet SVM for Predicting Protein Structural Class Via the General Form of Chou’s Pseudo Amino Acid Composition

(2012) Chao Chen et al.   PROTEIN AND PEPTIDE LETTERS

iLoc-Gpos: A Multi-Layer Classifier for Predicting the Subcellular Localization of Singleplex and Multiplex Gram-Positive Bacterial Proteins

(2012) Zhi-Cheng Wu et al.   PROTEIN AND PEPTIDE LETTERS

Exploiting maximal dependence decomposition to identify conserved motifs from a group of aligned signal sequences

(2011) Tzong-Yi Lee et al.   BIOINFORMATICS

PlantPhos: using maximal dependence decomposition to identify plant phosphorylation sites with substrate site specificity

(2011) Tzong-Yi Lee et al.   BMC 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

SNOSite: Exploiting Maximal Dependence Decomposition to Identify Cysteine S-Nitrosylation with Substrate Site Specificity

(2011) Tzong-Yi Lee et al.   PLoS One

N-Ace: Using solvent accessibility and physicochemical properties to identify protein N-acetylation sites

(2010) Tzong-Yi Lee 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

Prediction of protein submitochondria locations based on data fusion of various features of sequences

(2010) Pooya Zakeri 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

RegPhos: a system to explore the protein kinase–substrate phosphorylation network in humans

(2010) Tzong-Yi Lee et al.   NUCLEIC ACIDS RESEARCH

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

Molecular Mechanisms of Subcellular Localization of ABCG5 and ABCG8

(2009) Takashi HIRATA et al.   BIOSCIENCE BIOTECHNOLOGY AND BIOCHEMISTRY

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

(2009) Kuo-Chen Chou   Current Proteomics

Protein transport in organelles: Dual targeting of proteins to mitochondria and chloroplasts

(2009) Chris Carrie et al.   FEBS Journal

Incorporating support vector machine for identifying protein tyrosine sulfation sites

(2009) Wen-Chi Chang et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

Incorporating structural characteristics for identification of protein methylation sites

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

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

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

Improving subcellular localization prediction using text classification and the gene ontology

(2008) A. Fyshe et al.   BIOINFORMATICS

ESLpred2: improved method for predicting subcellular localization of eukaryotic proteins

(2008) Aarti Garg et al.   BMC BIOINFORMATICS

ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization

(2008) Wen-Lin Huang et al.   BMC BIOINFORMATICS

Protein subcellular location prediction using optimally weighted fuzzy k-NN algorithm

(2008) Efendi Nasibov et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

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

The Transmembrane Domain of the Severe Acute Respiratory Syndrome Coronavirus ORF7b Protein Is Necessary and Sufficient for Its Retention in the Golgi Complex

(2008) S. R. Schaecher et al.   JOURNAL OF VIROLOGY

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 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

PSLDoc: Protein subcellular localization prediction based on gapped-dipeptides and probabilistic latent semantic analysis

(2008) Jia-Ming Chang et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Sequence conserved for subcellular localization

(2002) Rajesh Nair et al.   PROTEIN SCIENCE