Artificial Intelligence in Drug Design

Artificial Intelligence in Drug Design

Alexander Heifetz
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This volume looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design. The chapters in this book describe how AI/ML/DL approaches can be applied to accelerate and revolutionize traditional drug design approaches such as: structure- and ligand-based, augmented and multi-objective de novo drug design, SAR and big data analysis, prediction of binding/activity, ADMET, pharmacokinetics and drug-target residence time, precision medicine and selection of favorable chemical synthetic routes. How broadly are these approaches applied and where do they maximally impact productivity today and potentially in the near future. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modeling protocols, and tips on troubleshooting and avoiding known pitfalls.
Tom:
2390
Rok:
2021
Wydanie:
1st ed. 2021
Wydawnictwo:
Humana
Język:
english
Strony:
526
ISBN 10:
1071617877
ISBN 13:
9781071617878
Serie:
Methods in molecular biology
Plik:
PDF, 12.67 MB
IPFS:
CID , CID Blake2b
english, 2021
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