Ontology highlight
ABSTRACT:
SUBMITTER: Qureshi A
PROVIDER: S-EPMC7162012 | biostudies-literature | 2017 Jan
REPOSITORIES: biostudies-literature
Chemical biology & drug design 20160909 1
Viral infections constantly jeopardize the global public health due to lack of effective antiviral therapeutics. Therefore, there is an imperative need to speed up the drug discovery process to identify novel and efficient drug candidates. In this study, we have developed quantitative structure-activity relationship (QSAR)-based models for predicting antiviral compounds (AVCs) against deadly viruses like human immunodeficiency virus (HIV), hepatitis C virus (HCV), hepatitis B virus (HBV), human ...[more]