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  • © 2020

Quantum Mechanics in Drug Discovery

  • Includes cutting-edge techniques
  • Provides step-by-step detail for reproducible results
  • Contains key implementation advice from the experts

Part of the book series: Methods in Molecular Biology (MIMB, volume 2114)

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Table of contents (20 protocols)

  1. Front Matter

    Pages i-x
  2. Current and Future Challenges in Modern Drug Discovery

    • Christofer S. Tautermann
    Pages 1-17
  3. Guiding Medicinal Chemistry with Fragment Molecular Orbital (FMO) Method

    • Alexander Heifetz, Tim James, Michelle Southey, Mike J. Bodkin, Steven Bromidge
    Pages 37-48
  4. Taking Water into Account with the Fragment Molecular Orbital Method

    • Yoshio Okiyama, Kaori Fukuzawa, Yuto Komeiji, Shigenori Tanaka
    Pages 105-122
  5. Computational Methods for Biochemical Simulations Implemented in GAMESS

    • Dmitri G. Fedorov, Hui Li, Vladimir Mironov, Yuri Alexeev
    Pages 123-142
  6. Protein Molecular Dynamics Simulations with Approximate QM: What Can We Learn?

    • Stephan Irle, Van Q. Vuong, Mouhmad H. Elayyan, Marat R. Talipov, Steven M. Abel
    Pages 149-161
  7. Analyzing GPCR-Ligand Interactions with the Fragment Molecular Orbital (FMO) Method

    • Alexander Heifetz, Tim James, Michelle Southey, Inaki Morao, Dmitri G. Fedorov, Mike J. Bodkin et al.
    Pages 163-175
  8. Characterizing Protein-Protein Interactions with the Fragment Molecular Orbital Method

    • Alexander Heifetz, Vladimir Sladek, Andrea Townsend-Nicholson, Dmitri G. Fedorov
    Pages 187-205
  9. Conformational Searching with Quantum Mechanics

    • Matthew Habgood, Tim James, Alexander Heifetz
    Pages 207-229
  10. User-Friendly Quantum Mechanics: Applications for Drug Discovery

    • Martin Kotev, Laurie Sarrat, Constantino Diaz Gonzalez
    Pages 231-255
  11. Molecular Docking Using Quantum Mechanical-Based Methods

    • M. Gabriela Aucar, Claudio N. Cavasotto
    Pages 269-284
  12. QM Calculations in ADMET Prediction

    • Alfonso Pozzan
    Pages 285-305
  13. Design and SAR Analysis of Covalent Inhibitors Driven by Hybrid QM/MM Simulations

    • Alessio Lodola, Donatella Callegari, Laura Scalvini, Silvia Rivara, Marco Mor
    Pages 307-337

About this book

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 Discovery is a valuable resourcefor structural and molecular biologists, computational and medicinal chemists, pharmacologists, and drug designers.

Editors and Affiliations

  • Evotec (UK) Ltd., Abingdon, UK

    Alexander Heifetz

Bibliographic Information

  • Book Title: Quantum Mechanics in Drug Discovery

  • Editors: Alexander Heifetz

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-0716-0282-9

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2020

  • Hardcover ISBN: 978-1-0716-0281-2Published: 04 February 2020

  • Softcover ISBN: 978-1-0716-0284-3Published: 04 February 2021

  • eBook ISBN: 978-1-0716-0282-9Published: 03 February 2020

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: X, 360

  • Number of Illustrations: 33 b/w illustrations, 117 illustrations in colour

  • Topics: Pharmaceutical Sciences/Technology, Bioinformatics, Quantum Computing

Buy it now

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access