Drug Discovery
Traditional Approaches and Advanced Strategies
- 1st Edition - April 1, 2026
- Latest edition
- Editor: Renren Bai
- Language: English
Drug Discovery: Traditional Approaches and Advanced Strategies serves as a comprehensive guide to the evolving world of pharmaceutical research. The monograph bridges time-h… Read more
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Drug Discovery: Traditional Approaches and Advanced Strategies serves as a comprehensive guide to the evolving world of pharmaceutical research. The monograph bridges time-honored methods and the latest innovations, with particular attention paid to the transformative influence of artificial intelligence and other emerging technologies on drug development. As the industry experiences rapid change, the book equips readers to understand and navigate the shifting landscape, fostering improved research efficiency and higher clinical success rates. Organized into three distinct sections, it delivers a thorough exploration of essential trends, foundational concepts, and the dynamic future of drug discovery.
The book not only covers traditional drug target identification and lead optimization but also delves into groundbreaking techniques such as targeted protein degradation and innovative design strategies. By integrating practical case studies with real-world applications, it becomes an invaluable resource for researchers, students, and professionals.
The book not only covers traditional drug target identification and lead optimization but also delves into groundbreaking techniques such as targeted protein degradation and innovative design strategies. By integrating practical case studies with real-world applications, it becomes an invaluable resource for researchers, students, and professionals.
- Bridges the gap between traditional drug discovery methods and cutting-edge AI technologies
- Offers practical case studies that illustrate successful AI applications in drug development
- Equips researchers with the latest insights to enhance R&D efficiency and success rates
- Encourages innovation by integrating emerging technologies with established methodologies
- Serves as a comprehensive resource for students and professionals in the pharmaceutical industry
Academic and corporate drug discovery researchers
Part I: Overview of Drug Discovery and Development
1. 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
1. 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
- Edition: 1
- Latest edition
- Published: April 1, 2026
- Language: English
RB
Renren Bai
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.
Affiliations and expertise
Hangzhou Normal University, China