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About Automated Discovery of GPCR Bioactive Ligands
This document discusses recent advances in using machine learning for automated discovery of bioactive ligands that bind to G-protein coupled receptors (GPCRs). It notes that while GPCRs are important drug targets, the structures and endogenous ligands of many GPCRs remain unknown. Machine learning approaches offer a cost-effective alternative to experimental screening methods for identifying potential bioactive ligands. The document reviews recent successful applications of machine learning for bioactive ligand discovery and identifies deep learning methods that can automatically extract information from structural data as a promising future direction.
Detailed Information
| Author: | ['Roufaida Hacini'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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