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Drug Discovery

Traditional Approaches and Advanced Strategies

  • 1st Edition - October 1, 2026
  • Latest edition
  • Editor: Renren Bai
  • Language: English

Drug Discovery: Traditional Approaches and Advanced Strategies is a foundational monograph that connects established methodologies, cutting-edge technologies, and the transf… Read more

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Description

Drug Discovery: Traditional Approaches and Advanced Strategies is a foundational monograph that connects established methodologies, cutting-edge technologies, and the transformative impact of AI and other emerging tools in the drug discovery landscape. Sections provide an overview of drug discovery and development, introducing current trends and the evolving landscape of the field, explore traditional approaches alongside advanced strategies, covering topics such as drug target discovery, lead optimization, and the revolutionary role of artificial intelligence in drug discovery, and investigate promising emerging technologies, including targeted protein degradation and innovative design strategies.

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.

Key features

  • 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

Readership

Academic and corporate drug discovery researchers

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Published: October 1, 2026
  • Language: English

About the editor

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