Skip to main content

Computer-Aided Drug Design

  • Book
  • © 2020

Overview

  • Explores the application of computational tools in drug design, discovery, and development

  • Presents method for identifying small-molecule binding pockets in proteins

  • Reviews the impact of ADME profiling on drug discovery and development

  • Highlights the available databases and in silico tools for vaccine design

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 159.99
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (12 chapters)

Keywords

About this book

This book provides up-to-date information on bioinformatics tools for the discovery and development of new drug molecules. It discusses a range of computational applications, including three-dimensional modeling of protein structures, protein-ligand docking, and molecular dynamics simulation of protein-ligand complexes for identifying desirable drug candidates. It also explores computational approaches for identifying potential drug targets and for pharmacophore modeling.

 

Moreover, it presents structure- and ligand-based drug design tools to optimize known drugs and guide the design of new molecules. The book also describes methods for identifying small-molecule binding pockets in proteins, and summarizes the databases used to explore the essential properties of drugs, drug-like small molecules and their targets. In addition, the book highlights various tools to predict the absorption, distribution, metabolism, excretion (ADME) and toxicity (T) of potential drug candidates. Lastly, it reviews in silico tools that can facilitate vaccine design and discusses their limitations.



Editors and Affiliations

  • Department of Biotechnology, Institute of Biosciences and Biotechnology, Chhatrapati Shahu Ji Maharaj University, Kanpur, India

    Dev Bukhsh Singh

About the editor

Dr. Dev Bukhsh Singh is an Assistant Professor at the Department of Biotechnology, Chhatrapati Shahu Ji Maharaj University, Kanpur, India. He received his B.Sc. and M.Sc. degrees from the University of Allahabad, Prayagraj, and his M.Tech. from the Indian Institute of Information Technology, Prayagraj. Holding a Ph.D. in Biotechnology with specialization in Bioinformatics from Gautam Buddha University, he has been actively involved in teaching and research since 2009, and his focus areas include molecular modeling, chemoinformatics, inhibitor/drug design, and in silico evaluation. He has authored numerous research articles and book chapters in the fields of medicinal research, molecular modeling, drug design, and systems biology. He is a member of various national and international academic bodies, and is a reviewer for several international journals.

Bibliographic Information

  • Book Title: Computer-Aided Drug Design

  • Editors: Dev Bukhsh Singh

  • DOI: https://doi.org/10.1007/978-981-15-6815-2

  • Publisher: Springer Singapore

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020

  • Hardcover ISBN: 978-981-15-6814-5Published: 10 October 2020

  • Softcover ISBN: 978-981-15-6817-6Published: 11 October 2021

  • eBook ISBN: 978-981-15-6815-2Published: 09 October 2020

  • Edition Number: 1

  • Number of Pages: XIII, 306

  • Number of Illustrations: 26 b/w illustrations, 54 illustrations in colour

  • Topics: Pharmacology/Toxicology, Bioinformatics, Chemistry/Food Science, general

Publish with us