An enhanced methodology for predicting protein-protein interactions between human and hepatitis C virus via ensemble learning algorithms-Reference-Cited by-同舟云学术

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An enhanced methodology for predicting protein-protein interactions between human and hepatitis C virus via ensemble learning algorithms

Published:2021-07-11 Issue: Volume: Page:1-11
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Liu Xin¹,Wang Liang¹²^ORCID,Liang Cheng-Hao³,Lu Ya-Ping⁴,Yang Ting¹,Zhang Xiao¹

Affiliation:

1. Department of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China

2. Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu, China

3. School of Life Science, Xuzhou Medical University, Xuzhou, Jiangsu, China

4. College of Computer Science and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, China

Funder

Xuzhou Science and Technology Project

Jiangsu Postdoctoral Science Foundation

Jiangsu University Natural Science Foundation

Research Foundation for Talented Scholars in Xuzhou Medical University

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Funding of Innovative Science and Technology Team of Young Scientists at Xuzhou Medical University

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2021.1946429

Reference56 articles.

1. Predicting Interactions between Virus and Host Proteins Using Repeat Patterns and Composition of Amino Acids

2. Computational analysis of interactomes: Current and future perspectives for bioinformatics approaches to model the host–pathogen interaction space

3. Prediction of Interactions between Viral and Host Proteins Using Supervised Machine Learning Methods

4. A survey on feature selection methods

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