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Artificial Intelligence in Drug Design
Alexander Heifetz你有多喜欢这本书?
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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.
卷:
2390
年:
2021
出版:
1st ed. 2021
出版社:
Humana
语言:
english
页:
526
ISBN 10:
1071617877
ISBN 13:
9781071617878
系列:
Methods in molecular biology
文件:
PDF, 12.67 MB
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IPFS:
CID , CID Blake2b
english, 2021
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