Recent advances of computational methods for identifying bacteriophage virion proteins

(E-pub Abstract Ahead of Print)

Author(s): Wei Chen*, Fulei Nie, Hui Ding*.

Journal Name: Protein & Peptide Letters

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Phage virion proteins (PVP) are essential materials of bacteriophage, which participate in a series of biological processes. Accurate identification of phage virion proteins is helpful to understand the mechanism of interaction between the phage and its host bacteria. Since experimental method is labor intensive and time-consuming, in the past few years, many computational approaches have been proposed to identify phage virion proteins. In order to facilitate researchers to select appropriate methods, it is necessary to give a comprehensive review and comparison on existing computational methods on identifying phage virion proteins. In this review, we summarized the existing computational methods for identifying phage virion proteins and also assessed their performances on an independent dataset. Finally, challenges and future perspectives for identifying phage virion proteins were presented. Taken together, we hope that this review could provide clues to researches on the study of phage virion proteins.

Keywords: bacteriophage, phage virion protein, machine learning algorithm, feature selection, web-server

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(E-pub Abstract Ahead of Print)
DOI: 10.2174/0929866526666190410124642
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