Targeting non-structural proteins of Hepatitis C virus for predicting repurposed drugs using QSAR and machine learning approaches

Targeting non-structural proteins of Hepatitis C virus for predicting repurposed drugs using QSAR and machine learning approaches

Hepatitis C virus (HCV) infection causes viral hepatitis leading to hepatocellular carcinoma. Despite the clinical use of direct-acting antivirals (DAAs) still there is treatment failure in 5–10% cases. Therefore, it is crucial to develop new antivirals against HCV. In this endeavor, we developed th...

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Bibliographic Details
Main Authors: Sakshi Kamboj, Akanksha Rajput, Amber Rastogi, Anamika Thakur, Manoj Kumar
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Hepatitis C Virus
Antiviral
Prediction
Drug repurposing
Machine learning
QSAR
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037022002744

Internet

http://www.sciencedirect.com/science/article/pii/S2001037022002744

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