Recent Advances of Computational Methods for Identifying Bacteriophage Virion Proteins

被引:10
|
作者
Chen, Wei [1 ,2 ,3 ]
Nie, Fulei [3 ]
Ding, Hui [2 ]
机构
[1] Chengdu Univ Tradit Chinese Med, Innovat Inst Chinese Med & Pharm, Chengdu 611730, Peoples R China
[2] Univ Elect Sci & Technol China, Ctr Informat Biol, Sch Life Sci & Technol, Key Lab Neuro Informat,Minist Educ, Chengdu 610054, Peoples R China
[3] North China Univ Sci & Technol, Ctr Genom & Computat Biol, Sch Life Sci, Tangshan 063000, Peoples R China
来源
PROTEIN AND PEPTIDE LETTERS | 2020年 / 27卷 / 04期
关键词
Bacteriophage; phage virion protein; host bacteria; machine learning algorithm; feature selection; web-server; FEATURE-SELECTION; IDENTIFICATION; PREDICTION; SEQUENCES; TOOL;
D O I
10.2174/0929866526666190410124642
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:259 / 264
页数:6
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