Equipping readers with insights into the future of drug development, this is a vital resource for academic and industrial researchers, students, and professionals seeking to stay at the forefront of drug discovery. By integrating traditional methodologies with the latest advancements, this book not only enhances understanding but also inspires innovation. With practical case studies and real-world applications, it empowers researchers to effectively implement new technologies, ultimately improving the efficiency and success rates of their R&D endeavors.
Table of Contents
Part I: Overview of Drug Discovery and Development1. Drug Discovery: Current Status and New Trends
Part II: Traditional Approaches and Advanced Strategies
2. New Strategies for Drug Target Discovery and Validation
3. Natural Products-Driven Drug Discovery: Challenges and Future
4. Lead Discovery and Optimization: Traditional Strategies and Modern Technology
5. Lead Compound Discovery Driven by Chemical Biology
6. Artificial Intelligence-Driven Drug Discovery: A New Era in Drug Discovery
7. Computer-Aided Drug Design: Technological Innovation and Novel Strategies
Part III: Promising Emerging Technologies
8. Targeted Protein Degradation: A Paradigm Shift in Drug Discovery
9. Photoswitches in Drug Discovery: Rational Design and Future Opportunities
10. Constrain Strategy in Drug Discovery: Challenges and Future
Authors
Renren Bai Hangzhou Normal University, China.Renren Bai, Ph.D., is a Professor and the Director of the Department of Medicinal Chemistry at the School of Pharmacy, Hangzhou Normal University. He earned his B.S. degree in Pharmaceutical Engineering and his Ph.D. in Medicinal Chemistry from China Pharmaceutical University before completing a postdoctoral training at Emory University School of Medicine. Dr. Bai is a Youth Member of the Zhejiang Pharmaceutical Chemistry and Antibiotics Committee and an Expert Member of the China Translators Association. He serves on the editorial boards of Medicinal Research Reviews and BMC Medical Education. His research primarily focuses on the discovery of anti-inflammatory, anti-tumor, and anti-dermatological drug candidates, as well as the application of artificial intelligence in drug discovery and structural modifications of natural active products.
