An Introduction to Generative Drug Discovery
eBook - ePub

An Introduction to Generative Drug Discovery

  1. 240 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

An Introduction to Generative Drug Discovery

About this book

This book describes the state?of?the?art methods and applications for de novo design of drug candidates using generative chemistry models as well as the ethical aspects of this technology. It will provide a foundation for those new to the field as well as those that may already have some experience of its utility. With contributions from scientists in both academia and industry 'Introduction to Generative Drug Discovery' may represent one of the earliest if not the first book to focus on this topic.

  • This book focuses on the latest advances in computational de novo drug discovery methods, also known as generative drug discovery
  • This book will describe different state of the art applications of generative molecule design.
  • The book describes ethical aspects of generative drug discovery technology.
  • The mix of academic and industrial authors provides an array of applications of generative drug discovery.
  • A future perspective of where these generative technologies may take us in drug discovery is described included self-driving labs.

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Yes, you can access An Introduction to Generative Drug Discovery by Sean Ekins in PDF and/or ePUB format, as well as other popular books in Medicine & Pharmacology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2025
eBook ISBN
9781040271360
Edition
1
Subtopic
Pharmacology

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication
  7. Table of Contents
  8. Preface
  9. Acknowledgments
  10. About the Editor
  11. Contributors List
  12. Part I Introduction to Generative Chemical Design
  13. Part II Generative Chemical Models Based on Language Processing
  14. Part III Generative Models and Synthetic Accessibility
  15. Part IV From Models to Practice
  16. Part V The Future
  17. Index