Computational drug discovery : methods and applications /

Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and com...

Full description

Bibliographic Details
Other Authors: Poongavanam, Vasanthanathan (Editor), Ramaswamy, Vijayan (Editor)
Format: eBook
Language:English
Published: Weinheim, Germany : Wiley-VCH, 2024.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Volume
  • Preface
  • Acknowledgments
  • About the Editors
  • Part I Molecular Dynamics and Related Methods in Drug Discovery
  • 1 Binding Free Energy Calculations in Drug Discovery 3 Anitade Ruiter and Chris Oostenbrink
  • 2 Gaussian Accelerated Molecular Dynamics in Drug Discovery 21 Hung N. Do, Jinan Wang, Keya Joshi, Kushal Koirala, and Yinglong Miao
  • 3 MD Simulations for Drug-Target(Un)binding Kinetics 45 Steffen Wolf
  • 4 Solvation Thermodynamics and its Applications in Drug Discovery 65 Kuzhanthaivelan Saravanan and Ramesh K. Sistla
  • 5 Site-Identification by Ligand Competitive Saturation as a Paradigm of Co-solvent MD Methods 83 Asuka A. Orr and Alexander D. MacKerell Jr.
  • Part II Quantum Mechanics Application for Drug Discovery
  • 6 QM/MM for Structure-Based Drug Design: Techniques and Applications 121 Marc W. van der Kamp and Jaida Begum
  • 7 Recent Advances in Practical Quantum Mechanics and Mixed-QM/MM-Driven X-Ray Crystallography and Cryogenic Electron Microscopy (Cryo-EM) and Their Impact on Structure-Based Drug Discovery 157 Oleg Borbulevych and Lance M. Westerhoff
  • 8 Quantum-Chemical Analyses of Interactions for Biochemical Applications 183 Dmitri G. Fedorov
  • Part III Artificial Intelligence in Pre-clinical Drug Discovery
  • 9 The Role of Computer-Aided Drug Design in Drug Discovery 213 Stormvander Voort, Andreas Bender, and Bart A. Westerman
  • 10 AI-Based Protein Structure Predictions and Their Implications in Drug Discovery 227 Tahsin F. Kellici, Dimitar Hristozov, and Inaki Morao
  • 11 Deep Learning for the Structure-Based Binding Free Energy Prediction of Small Molecule Ligands 255 Venkatesh Mysore, Nilkanth Patel, and Adegoke Ojewole
  • 12 Using Artificial Intelligence for de novo Drug Design and Retrosynthesis 275 Rohit Arora, Nicolas Brosse, Clarisse Descamps, Nicolas Devaux, Nicolas Do Huu, Philippe Gendreau, Yann Gaston-Matȟ, Maud Parrot, Quentin Perron, and Hamza Tajmouati
  • 13 Reliability and Applicability Assessment for Machine Learning Models 299 Fabio Urbina and Sean Ekins
  • Volume
  • Preface
  • Acknowledgments
  • About the Editors
  • Part IV Chemical Space and Knowledge-Based Drug Discovery
  • 14 Enumerable Libraries and Accessible Chemical Space in Drug Discovery 317 Tim Knehans, Nicholas A. Boyles, and Pieter H. Bos
  • 15 Navigating Chemical Space 337 Akos Tarcsay, Andr̀s Volford, Jonathan Buttrick, Jan-Constantin Christopherson, M̀te Erdos, and Zolt̀n B. Szab̤
  • 16 Visualization, Exploration, and Screening of Chemical Space in Drug Discovery 365 Još J. Naveja, Fernanda I. Sald̕var-Gonz̀lez, Diana L. Prado-Romero, Angel J.Ruiz-Moreno, Marco Velasco-Vel̀zquez, Ram̤n Alain Miranda-Quintana, and Još L. Medina-Franco
  • 17 SAR Knowledge Bases for Driving Drug Discovery 395 Nishanth Kandepedu, Anil Kumar Manchala, and Norman Azoulay
  • 18 Cambridge Structural Database (CSD)-Drug Discovery Through Data Mining & Knowledge-Based Tools 419 Francesca Stanzione, Rupesh Chikhale, and Laura Friggeri
  • Part V Structure-Based Virtual Screening Using Docking
  • 19 Structure-Based Ultra-Large Virtual Screenings 443 Christoph Gorgulla
  • 20 Community Benchmarking Exercises for Docking and Scoring 471 Bharti Devi, Anurag TK Baidya, and Rajnish Kumar
  • PartVI In Silico ADMET Modeling
  • 21 Advances in the Application of In Silico ADMET Models-An Industry Perspective 497 Wenyi Wang, Fjodor Melnikov, Joe Napoli, and Prashant Desai
  • Part VII Computational Approaches for New Therapeutic Modalities
  • 22 Modeling the Structures of Ternary Complexes Mediated by Molecular Glues 539 Michael L. Drummond
  • 23 Free Energy Calculations in Covalent Drug Design 561 Levente M. Mihalovits, Gy̲rgy G. Ferenczy, and Gy̲rgy M. Keseru
  • Part VIII Computing Technologies Driving Drug Discovery
  • 24 Orion A Cloud-Native Molecular Design Platform 581 Jesper Sorensen, Caitlin C. Bannan, Gaetano Calabṛ, Varsha Jain, Grigory Ovanesyan, Addison Smith, She Zhang, Christopher I. Bayly, Tom A. Darden, Matthew T. Geballe, David N. LeBard, Mark McGann, Joseph B. Moon, Hari S. Muddana, Andrew Shewmaker, Jharrod LaFon, Robert W. Tolbert, A. Geoffrey Skillman, and Anthony Nicholls
  • 25 Cloud-Native Rendering Platform and GPUs Aid Drug Discovery 617 Mark Ross, Michael Drummond, Lance Westerhoff, Xavier Barbeu, Essam Metwally, Sasha Banks-Louie, Kevin Jorissen, Anup Ojah, and Ruzhu Chen
  • 26 The Quantum Computing Paradigm 627 Thomas Ehmer, Gopal Karemore, and Hans Melo
  • Index.