BlaPred: predicting and classifying \(\beta\)-lactamase using a 3-tier prediction system via Chou's general PseAAC
type: Item
instance of: scholarly article
title: BlaPred: predicting and classifying \(\beta\)-lactamase using a 3-tier prediction system via Chou's general PseAAC
zbMATH Open document ID: 1406.92215
author: Peng Zhang
published in: Journal of Theoretical Biology
publication date: 2019-01-31T00:00:00Z
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7009497
zbMATH Keywords: \(\beta\)-lactamase
zbMATH Keywords: antibiotic resistance
zbMATH Keywords: support vector machine
zbMATH Keywords: \textit{leave-one-out} cross-validation
zbMATH Keywords: pseudo amino acid composition
describes a project that uses: PseAAC
describes a project that uses: PredLactamase
describes a project that uses: UniProt
describes a project that uses: PseAAC-Builder
describes a project that uses: Pse-in-One
describes a project that uses: GPCR-2L
describes a project that uses: iNitro-Tyr
describes a project that uses: iSNO-AAPair
describes a project that uses: iTIS-PseTNC
describes a project that uses: pLoc-mEuk
describes a project that uses: iRNA-PseColl
describes a project that uses: iRSpot-EL
describes a project that uses: pLoc-mPlant
describes a project that uses: pLoc-mGneg
describes a project that uses: NR-2L
describes a project that uses: 2L-piRNA
describes a project that uses: iDNA6mA-PseKNC
describes a project that uses: pLoc-mHum
describes a project that uses: pSuc-Lys
describes a project that uses: iRSpot-PseDNC
describes a project that uses: PseKNC
describes a project that uses: PROSPERous
describes a project that uses: iPTM-mLys
describes a project that uses: LogitBoost
describes a project that uses: Cd-hit
describes a project that uses: iEnhancer-2L
describes a project that uses: iAMP-2L
describes a project that uses: iPro54-PseKNC
describes a project that uses: iPPI-Esml
describes a project that uses: Quat-2L
describes a project that uses: pLoc-mAnimal
describes a project that uses: pLoc-mVirus
describes a project that uses: iATC-mHyb
describes a project that uses: iRNAm5C-PseDNC
describes a project that uses: POSSUM
describes a project that uses: iPreny-PseAAC
describes a project that uses: iPromoter-2L
describes a project that uses: iProt-Sub
describes a project that uses: iRNA-PseU
describes a project that uses: iRNA-3typeA
MaRDI profile type: Publication
full work available at URL: j.jtbi.2018.08.030
OpenAlex ID: W2888551041
Wikidata QID: Q91107197
cites work: IMem-2LSAAC: a two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into Chou's pseudo amino acid composition
cites work: Using LogitBoost classifier to predict protein structural classes
cites work: Some remarks on protein attribute prediction and pseudo amino acid composition
cites work: Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC
cites work: pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
cites work: Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model
cites work: Prediction of \(\beta\)-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine
cites work: Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC
DOI: 10.1016/J.JTBI.2018.08.030
description: scientific article; zbMATH DE number 7009497