Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method

Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method

Human immunodeficiency virus type-1 and hepatitis C virus (HIV/HCV) coinfection occurs when a patient is simultaneously infected with both human immunodeficiency virus type-1 (HIV-1) and hepatitis C virus (HCV), which is common today in certain populations. However, the treatment of coinfection is a...

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Bibliographic Details
Main Authors: Yu Wei, Wei Li, Tengfei Du, Zhangyong Hong, Jianping Lin
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:International Journal of Molecular Sciences
Subjects:
HIV/HCV coinfection
machine learning
multiple QSAR method
multitarget inhibitors
polypharmacology
drug discovery
Online Access:https://www.mdpi.com/1422-0067/20/14/3572

Internet

https://www.mdpi.com/1422-0067/20/14/3572

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