Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method. [electronic resource]
Producer: 20191220ISSN:- 1422-0067
- Algorithms
- Anti-HIV Agents -- chemistry
- Antiviral Agents -- chemistry
- Bayes Theorem
- Databases, Pharmaceutical
- Drug Discovery
- HIV Infections -- drug therapy
- HIV-1 -- drug effects
- Hepacivirus -- drug effects
- Hepatitis C -- drug therapy
- Humans
- Machine Learning
- Models, Molecular
- Molecular Conformation
- Molecular Structure
- Polypharmacology
- Protein Binding
- Quantitative Structure-Activity Relationship
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Publication Type: Journal Article
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