A combinatorial computational approach for drug discovery against AIDS: Machine learning and proteochemometrics
作者： Sofia D’souza , Prema K. V. , Seetharaman Balaji
DOI: 10.1007/978-3-030-29022-1_11
关键词: Computer science 、 Drug discovery 、 Drug 、 Drug repositioning 、 Treatment efficacy 、 Machine learning 、 Artificial intelligence 、 Context (language use) 、 Precision medicine 、 Identification (information) 、 Virtual screening
摘要: Computational methods have been widely used in drug discovery including identification of novel targets, studying target interactions, and virtual screening compounds against known targets. Machine learning techniques predictions targets drugs with greater accuracy compared to other methods. algorithms also predicting the progression disease, resistance a virus, treatment efficacy prediction, effectiveness combinational therapy respect HIV-1. In this article, we focused on some machine context viral disease. brief, great potential discovery, repurposing, precision medicine.
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