pSSbond-PseAAC: prediction of disulfide bonding sites by integration of PseAAC and statistical moments
type: Item
instance of: scholarly article
title: pSSbond-PseAAC: prediction of disulfide bonding sites by integration of PseAAC and statistical moments
zbMATH Open document ID: 1406.92460
author: Yaser Daanial Khan
author: Mehreen Jamil
author: Waqar Hussain
author: Nouman Rasool
author: Sher Afzal Khan
author: Kuo-Chen Chou
published in: Journal of Theoretical Biology
publication date: 2019-02-06T00:00:00Z
Mathematics Subject Classification ID: 92D20
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7013670
zbMATH Keywords: 5-step rule
zbMATH Keywords: neural networks
zbMATH Keywords: position relative features
zbMATH Keywords: 10-fold cross validation
Wikidata QID: Q90503965
describes a project that uses: iPTM-mLys
describes a project that uses: iDHS-EL
describes a project that uses: iDNA-Prot
describes a project that uses: iEnhancer-2L
describes a project that uses: iPro54-PseKNC
describes a project that uses: iMethyl-PseAAC
describes a project that uses: Prnam-PC
describes a project that uses: iPhos-PseEvo
describes a project that uses: pLoc-mAnimal
describes a project that uses: iRNA-AI
describes a project that uses: iATC-mHyb
describes a project that uses: iRNAm5C-PseDNC
describes a project that uses: iPreny-PseAAC
describes a project that uses: iPromoter-2L
describes a project that uses: iKcr-PseEns
describes a project that uses: iProt-Sub
describes a project that uses: iRNA-PseU
describes a project that uses: pLoc_bal-mGneg
describes a project that uses: pLoc-mEuk
describes a project that uses: propy
describes a project that uses: Pse-in-One
describes a project that uses: iSuc-PseOpt
describes a project that uses: iSNO-AAPair
describes a project that uses: iRNA-PseColl
describes a project that uses: iRSpot-EL
describes a project that uses: DPP-PseAAC
describes a project that uses: pLoc-mGneg
describes a project that uses: pLoc-mPlant
describes a project that uses: pLoc_bal-mHum
describes a project that uses: iPPI-PseAAC
describes a project that uses: 2L-piRNA
describes a project that uses: pLoc_bal-mGpos
describes a project that uses: BlaPred
describes a project that uses: pLoc-mVirus
describes a project that uses: iHyd-PseAAC
describes a project that uses: pSuc-Lys
describes a project that uses: iRSpot-PseDNC
MaRDI profile type: Publication
full work available at URL: j.jtbi.2018.12.015
OpenAlex ID: W2905397045
cites work: iMethyl-STTNC: identification of N\(^6\)-methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences
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: pLoc\_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC
cites work: Some remarks on protein attribute prediction and pseudo amino acid composition
cites work: Predicting structural classes of proteins by incorporating their global and local physicochemical and conformational properties into general Chou's PseAAC
cites work: Naïve Bayes classifier with feature selection to identify phage virion proteins
cites work: pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
cites work: iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC
cites work: Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou's general PseAAC via Kullback-Leibler divergence
cites work: Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition
cites work: Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition
cites work: Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC
cites work: Predicting membrane protein types by incorporating a novel feature set into Chou's general PseAAC
cites work: Methods to predict protein spatial structure
cites work: BlaPred: predicting and classifying \(\beta\)-lactamase using a 3-tier prediction system via Chou's general PseAAC
cites work: Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC
cites work: Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou's PseAAC
DOI: 10.1016/J.JTBI.2018.12.015