Prediction of bacterial virulent proteins with composition moment vector feature encoding method

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dc.contributor.authorGök, Murat
dc.contributor.authorHerand, Deniz
dc.date.accessioned2021-01-08T21:51:27Z
dc.date.available2021-01-08T21:51:27Z
dc.date.issued2016
dc.departmentTAÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description6th International Conference on Chemistry and Chemical Process (ICCCP), FEB 01-03, 2016, Rome, ITALYen_US
dc.descriptionWOS:000389750800012en_US
dc.description.abstractPrediction of bacterial virulent proteins is critical for vaccine development and understanding of virulence mechanisms in pathogens. For this purpose, a number of feature encoding methods based on sequences and evolutionary information of a given protein have been proposed and applied with some classifier algorithms so far. In this paper, we performed composition moment vector (CMV), which includes information about both composition and position of amino acid in the protein sequence to predict bacterial virulent proteins. The tests were validated in three different independent datasets. Experimental results show that CMV feature encoding method leads to better classification performance in terms of accuracy, sensitivity, f-measure and the Matthews correlation coefficient (MCC) scores on diverse classifiers.
dc.description.sponsorshipChina & Asia Pacific Chem, Biol & Environm Engn Soc
dc.identifier.doi10.1051/matecconf/20164907001
dc.identifier.issn2261-236X
dc.identifier.scopus2-s2.0-84969884362
dc.identifier.scopusqualityN/A
dc.identifier.urihttp://doi.org/10.1051/matecconf/20164907001
dc.identifier.urihttps://hdl.handle.net/20.500.12846/278
dc.identifier.volume49en_US
dc.identifier.wosWOS:000389750800012
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherE D P Sciences
dc.relation.ispartof2016 6Th International Conference On Chemistry And Chemical Process (Icccp 2016)
dc.relation.ispartofseriesMATEC Web of Conferences
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titlePrediction of bacterial virulent proteins with composition moment vector feature encoding method
dc.typeConference Object

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