Predicting mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou's pseudo amino acid composition
type: Item
instance of: scholarly article
title: Predicting mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou's pseudo amino acid composition
zbMATH Open document ID: 1397.92186
author: Guo-Liang Fan
author: Qian-Zhong Li
published in: Journal of Theoretical Biology
publication date: 2018-09-26T00:00:00Z
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 92C37
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6944179
zbMATH Keywords: jackknife validation
zbMATH Keywords: Mycobacterium tuberculosis
zbMATH Keywords: reduced amino acids
zbMATH Keywords: evolutionary information
zbMATH Keywords: average chemical shift
describes a project that uses: UniProt
describes a project that uses: Memtype-2L
describes a project that uses: Porter
describes a project that uses: iLoc-Hum
describes a project that uses: Euk-mPLoc
describes a project that uses: LIBSVM
describes a project that uses: iLoc-Euk
describes a project that uses: iLoc-Plant
describes a project that uses: Cell-PLoc
describes a project that uses: iLoc-Virus
describes a project that uses: iLoc-Gpos
describes a project that uses: AFP-Pred
describes a project that uses: SecretP
MaRDI profile type: Publication
full work available at URL: j.jtbi.2012.03.017
OpenAlex ID: W1993791542
Wikidata QID: Q44499984
cites work: Knowledge-based virtual screening of HLA-A*0201-restricted CD8\(^+\) T-cell epitope peptides from herpes simplex virus genome
cites work: Identify catalytic triads of serine hydrolases by support vector machines
cites work: Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition
cites work: Some remarks on protein attribute prediction and pseudo amino acid composition
cites work: Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses
cites work: Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition
cites work: Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
cites work: The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition
cites work: Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition
cites work: Prediction of GABA\(_{\mathrm A}\) receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine
cites work: Q4261789
cites work: \textbf{iLoc-Virus}: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
cites work: SecretP: identifying bacterial secreted proteins by fusing new features into Chou's pseudo-amino acid composition
cites work: Prediction of protein submitochondria locations based on data fusion of various features of sequences
cites work: Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
cites work: Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes
DOI: 10.1016/J.JTBI.2012.03.017
description: scientific article; zbMATH DE number 6944179