Recent Advances on the Machine Learning Methods in Identifying Phage Virion Proteins

Author(s): Yingjuan Yang, Chunlong Fan, Qi Zhao*

Journal Name: Current Bioinformatics

Volume 15 , Issue 7 , 2020


Become EABM
Become Reviewer
Call for Editor

Graphical Abstract:


Abstract:

In the field of bioinformatics, the prediction of phage virion proteins helps us understand the interaction between phage and its host cells and promotes the development of new antibacterial drugs. However, traditional experimental methods to identify phage virion proteins are expensive and inefficient, more researchers are working to develop new computational methods. In this review, we summarized the machine learning methods for predicting phage virion proteins during recent years, and briefly described their advantages and limitations. Finally, some research directions related to phage virion proteins are listed.

Keywords: Bioinformatics, phage virion proteins, machine learning methods, feature selection, protein correlation prediction, cell.

Rights & PermissionsPrintExport Cite as

Article Details

VOLUME: 15
ISSUE: 7
Year: 2020
Page: [657 - 661]
Pages: 5
DOI: 10.2174/1574893614666191203155511
Price: $65

Article Metrics

PDF: 17