PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine

PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine

Accurately identifying bacteriophage virion proteins from uncharacterized sequences is important to understand interactions between the phage and its host bacteria in order to develop new antibacterial drugs. However, identification of such proteins using experimental techniques is expensive and oft...

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Bibliographic Details
Main Authors: Balachandran Manavalan, Tae H. Shin, Gwang Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-03-01
Series:Frontiers in Microbiology
Subjects:
bacteriophage virion proteins
feature selection
hybrid features
machine learning
support vector machine
Online Access:http://journal.frontiersin.org/article/10.3389/fmicb.2018.00476/full

Internet

http://journal.frontiersin.org/article/10.3389/fmicb.2018.00476/full

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