\(\gamma\)-turn types prediction in proteins using the two-stage hybrid neural discriminant model
type: Item
instance of: scholarly article
title: \(\gamma\)-turn types prediction in proteins using the two-stage hybrid neural discriminant model
zbMATH Open document ID: 1402.92326
author: Samad Jahandideh
author: Somayyeh Hoseini
author: Mina Jahandideh
author: Afsaneh Hoseini
author: Fatemeh Miri Disfani
published in: Journal of Theoretical Biology
publication date: 2018-11-16T00:00:00Z
Mathematics Subject Classification ID: 92D20
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6980156
zbMATH Keywords: tripeptide
zbMATH Keywords: sequence and structural parameters
zbMATH Keywords: linear discriminate analysis
zbMATH Keywords: artificial neural networks
Wikidata QID: Q47900003
describes a project that uses: Cell-PLoc
describes a project that uses: Memtype-2L
describes a project that uses: EzyPred
describes a project that uses: Signal-CF
describes a project that uses: Signal-3L
describes a project that uses: HIVcleave
describes a project that uses: PROMOTIF
describes a project that uses: GPCR-CA
describes a project that uses: ProtIdent
MaRDI profile type: Publication
full work available at URL: j.jtbi.2009.04.016
OpenAlex ID: W1979946651
cites work: \(\gamma\)-Turn types prediction in proteins using the support vector machines
cites work: The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition
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.2009.04.016
description: scientific article; zbMATH DE number 6980156