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

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

Volume: 15 Issue: 7

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

Affiliation:

• School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, 114051,China

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

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.

Cite this article as:

Yang Yingjuan , Fan Chunlong and Zhao Qi *, Recent Advances on the Machine Learning Methods in Identifying Phage Virion Proteins, Current Bioinformatics 2020; 15 (7) . https://dx.doi.org/10.2174/1574893614666191203155511