Recent Advances in Molecular Docking: Methods, Tools, and Applications offers an authoritative guide to modern molecular docking techniques, emphasizing the integration of artificial intelligence and machine learning. The volume covers foundational principles, computational workflows, and advanced scoring functions, providing researchers and practitioners with practical tools to improve drug-target interaction predictions. It highlights applications across pharmaceuticals, including cancer, neurological disorders, and infectious diseases, which are all supported by real-world case studies. Challenges in docking accuracy, reproducibility, validation, and ethical and regulatory considerations are also covered.
Authored by international experts, it bridges theoretical knowledge with practical applications, making it an essential resource for computational biologists, pharmacologists, and drug developers aiming to leverage AI-driven docking in precision medicine.
- Explores state-of-the-art molecular docking methods that integrate AI and machine learning
- Provides practical guidance on docking workflows, scoring functions, and benchmarking tools
- Covers applications in drug discovery, precision therapeutics, and multi-omics integration
- Includes case studies on cancer, neurological diseases, and infectious diseases
- Addresses ethical, legal, and regulatory perspectives in computational drug design
