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Elsevier Academic Press Machine Learning in Drug Development Vol 65

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Description

Explore the latest advancements in medicinal chemistry with Machine Learning in Drug Development: Part 2, Volume 65. Published by Academic Press as part of the Annual Reports in Medicinal Chemistry series, this volume provides expert insights from an international board of authors. This collection examines how machine learning transforms modern drug discovery through ligand-based drug design and multi-modal drug design via computational pocket mapping and data integration. Readers will find detailed chapters on harnessing AI for nucleic acid drug discovery, including small molecule targeting of DNA and RNA. This volume serves as a technical resource for understanding AI-aided drug development for protein targets and other emerging computational methodologies in the pharmaceutical field.

Key Features

This Academic Press publication is part of the Annual Reports in Medicinal Chemistry series, Volume 65.

The text features technical chapters written by an international board of authors specializing in the field.

Content covers transforming modern drug discovery through machine learning applications in ligand-based drug design.

Learn about optimizing multi-modal drug design using computational pocket mapping and data integration techniques.

The volume includes research on harnessing AI for nucleic acid drug discovery and small molecule targeting of DNA and RNA.

Explore AI-aided drug development strategies specifically focused on protein targets.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 November 2025
Listed Since
09 April 2025

Barcode

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