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Machine Learning in Drug Development: Part 2
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Machine Learning in Drug Development: Part 2, Volume 65 in the Annual Reports on Medicinal Chemistry series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors.
Chapters in this volume explore the integration of artificial intelligence and machine learning in modern drug discovery, including applications in ligand-based design, protein degraders, nucleic acid targeting, and antiviral drug development. Additional topics include AI-driven strategies for drug target identification, computational pocket mapping, multi-modal data integration, and the use of machine learning in proteomic biomarker discovery.
- Provides the authority and expertise of leading contributors from an international board of authors
- Presents the latest release in Annual Reports on Medicinal Chemistry series
- Updated release includes the latest information in the field
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