iUbiq-Lys: prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a gray system model

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(2018)   Molecular Informatics

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(2016)   JOURNAL OF COMPUTATIONAL CHEMISTRY

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(2016)   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

iTIS-PseTNC: A sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition

(2014) Wei Chen et al.   ANALYTICAL BIOCHEMISTRY

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

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

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

(2014) Bin Liu et al.   PLoS One

iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition

(2014) Yan Xu et al.   PLoS One

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

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

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

A two-stage SVM method to predict membrane protein types by incorporating amino acid classifications and physicochemical properties into a general form of Chou's PseAAC

(2013) Guo-Sheng Han 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

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

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

Using ensemble SVM to identify human GPCRs N-linked glycosylation sites based on the general form of Chou's PseAAC

(2013) H.-L. Xie et al.   PROTEIN ENGINEERING DESIGN & SELECTION

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

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

Predicting protein oxidation sites with feature selection and analysis approach

(2012) Shen Niu et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

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

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

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

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(2012)   ACM Transactions on Intelligent Systems and Technology

Prediction of lysine ubiquitination with mRMR feature selection and analysis

(2011) Yudong Cai et al.   AMINO ACIDS

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 Lysine Ubiquitylation with Ensemble Classifier and Feature Selection

(2011) Xiaowei Zhao et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

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

Multi-kernel transfer learning based on Chou's PseAAC formulation for protein submitochondria localization

(2011) Suyu Mei   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

Prediction of Ubiquitination Sites by Using the Composition of k-Spaced Amino Acid Pairs

(2011) Zhen Chen 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

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

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

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

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

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

(2008) Loris Nanni et al.   AMINO ACIDS

Computational identification of ubiquitylation sites from protein sequences

(2008) Chun-Wei Tung et al.   BMC BIOINFORMATICS

PseAAC: A flexible web server for generating various kinds of protein pseudo amino acid composition

(2007) Hong-Bin Shen et al.   ANALYTICAL BIOCHEMISTRY