Prediction of Signal Peptide Cleavage Sites with Subsite-Coupled and Template Matching Fusion Algorithm

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

(2013) Xuan Xiao et al.   ANALYTICAL BIOCHEMISTRY

MSLoc-DT: A new method for predicting the protein subcellular location of multispecies based on decision templates

(2013) Shao-Wu Zhang et al.   ANALYTICAL BIOCHEMISTRY

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

(2013) Tzu-Hao Chang et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

A Multilabel Model Based on Chou’s Pseudo–Amino Acid Composition for Identifying Membrane Proteins with Both Single and Multiple Functional Types

(2013) Chao Huang et al.   JOURNAL OF MEMBRANE BIOLOGY

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

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

iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties

(2012) Wei Chen et al.   PLoS One

SignalP 4.0: discriminating signal peptides from transmembrane regions

(2011) Thomas Nordahl Petersen et al.   NATURE METHODS

Some remarks on protein attribute prediction and pseudo amino acid composition

(2010) Kuo-Chen Chou   JOURNAL OF THEORETICAL BIOLOGY

Architecture, function and prediction of long signal peptides

(2009) J. A. Hiss et al.   BRIEFINGS IN BIOINFORMATICS

The Universal Protein Resource (UniProt) in 2010

(2009)   NUCLEIC ACIDS RESEARCH

SPOCTOPUS: a combined predictor of signal peptides and membrane protein topology

(2008) Håkan Viklund et al.   BIOINFORMATICS

Pattern analysis for the prediction of fungal pro-peptide cleavage sites

(2008) S. Özöğür-Akyüz et al.   DISCRETE APPLIED MATHEMATICS

Effects of neighboring sequence environment in predicting cleavage sites of signal peptides

(2008) Yizhou Li et al.   PEPTIDES

Prediction of signal peptides in archaea

(2008) P.G. Bagos et al.   PROTEIN ENGINEERING DESIGN & SELECTION

Transmembrane Topology and Signal Peptide Prediction Using Dynamic Bayesian Networks

(2008) Sheila M. Reynolds et al.   PLoS Computational Biology