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.

• 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