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Quantum Mechanics In Drug Discovery 1st Ed 2020 Edition Alexander Heifetz

  • SKU: BELL-47710400
Quantum Mechanics In Drug Discovery 1st Ed 2020 Edition Alexander Heifetz
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Quantum Mechanics In Drug Discovery 1st Ed 2020 Edition Alexander Heifetz instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 12.99 MB
Pages: 370
Author: Alexander Heifetz
ISBN: 9781071602812, 1071602810
Language: English
Year: 2020
Edition: 1st ed. 2020 Edition
Volume: 2114

Product desciption

Quantum Mechanics In Drug Discovery 1st Ed 2020 Edition Alexander Heifetz by Alexander Heifetz 9781071602812, 1071602810 instant download after payment.

Product Description

This volume looks at applications of quantum mechanical (QM) methods in drug discovery. The chapters in this book describe how QM approaches can be applied to address key drug discovery issues, such as characterizing protein-water-ligand and protein-protein interactions, providing estimates of binding affinities, determining ligand energies and bioactive conformations, refinement of molecular geometries, scoring docked protein–ligand poses, describing molecular similarity, structure–activity-relationship (SAR) analysis, and ADMET prediction. 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. 

Cutting-edge and unique, Quantum Mechanics in Drug Discoveryis a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists, and drug designers.

From the Back Cover

This volume looks at applications of quantum mechanical (QM) methods in drug discovery. The chapters in this book describe how QM approaches can be applied to address key drug discovery issues, such as characterizing protein-water-ligand and protein-protein interactions, providing estimates of binding affinities, determining ligand energies and bioactive conformations, refinement of molecular geometries, scoring docked protein–ligand poses, describing molecular similarity, structure–activity-relationship (SAR) analysis, and ADMET prediction. 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. 

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