
Computer Aided Drug Design (CADD): From Ligand-Based Methods to Structure-Based Approaches
Description
Key Features
- Highlights in silico approaches to drug design and discovery using computational tools and techniques
- Details ligand-based and structure-based drug design in a comprehensive and systematic approach
- Summarizes recent developments in computational drug design strategy as novel approaches of rational drug designing
Readership
Drug discovery scientists, drug developers, medicinal chemists, pharmacologists, toxicologists, phytochemists, biochemists, biologists, R&D personnel, researchers, students, teachers and many others. Industrial scientists; regulators
Table of Contents
1. Introduction to drug design and discovery
2. Fundamental considerations in drug design
3. Ligand-based drug design (LBDD)
4. Quantitative structure-activity relationships (QSARs)
5. Fundamentals of molecular modeling in drug design
6. Pharmacophore modeling in drug design
7. Structure-based drug design (SBDD)
8. Recent advances in CADD
9. Limitations and future challenges of CADD
Product details
- No. of pages: 322
- Language: English
- Copyright: © Elsevier 2022
- Published: May 26, 2022
- Imprint: Elsevier
- Paperback ISBN: 9780323906081
- eBook ISBN: 9780323914338
About the Editors
Mithun Rudrapal
Affiliations and Expertise
Chukwuebuka Egbuna
Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
Prashanta D. Fri Jun 10 2022
Amazing literature
This book seems to be suitable resource of technical and strategical information's for the beginners to experts researchers working in the field of In-silico Drug Discovery.
Gourav R. Wed Jun 08 2022
Highly recommended for scientific community
This book will aid students, researchers, medicinal chemists, and members of the scientific community in developing and repurposing drugs employing CADD concepts. Along with the fundamental principles of CADD, it contains vital information along with case-studies wrt structure-based and ligand-based drug design. Moreover, the core theoretical principles, methodologies, and applications of numerous computational tools used in drug design and discovery have been discussed in this book. Hope the readers will surely be delighted with the content presented in this book.
Dr. B. Tue Jun 07 2022
Highly recommended for focused users
This book seems to be a valuable resource for researchers and academicians. It provides useful and comprehensive information on CADD with recent tools and techniques. I highly recommend this book for the focused audience/ users of the book.
James Z. Tue Jun 07 2022
Perfect for beginners, yet beneficial for experts as well.
This book contains all of the in-silico techniques that are commonly used in Pharmaceutical Research. It encompasses all the basic principles in different fields of CADD. I recommend this book for beginners to get their research going. And also for the experts as well to update themselves with the ever changing trends.
SIDDHARTHA M. Tue Jun 07 2022
Highly recommend it, it's absolutely fantastic.
Drug design to Molecular Modeling: This book outlines basic concepts and applications of various CADD techniques used in drug design and discovery. It also addresses various CADD and software-related problems.
Manoj M. Mon Mar 21 2022
Computer Aided Drug Design (CADD): From Ligand-Based Methods to Structure-Based Approaches
This book outlines basic theoretical principles, methods, and applications of various computational techniques used in drug design and discovery. It encompasses traditional as well as newer in silico tools and techniques used in molecular modeling, rational drug design. The fundamental aspects of CADD has been illustrated in this book which would be beneficial for students, academicians and researchers.
VIVEK Y. Sun Mar 20 2022
Highly recommended
This book covers all aspects required to uderstand from basic to advanced CADD details. It covers important information with examples from structure based to ligand based drug design, it would be helpful for the researcher and medicinal chemist to design novel drug.