Phytochemistry, Computational Tools, and Databases in Drug Discovery 1st Edition

Capture the edge of modern drug discovery with Phytochemistry, Computational Tools, and Databases in Drug Discovery, 1st Edition by Chukwuebuka Egbuna, Mithun Rudrapal, and Habibu Tijjani. This authoritative volume draws a clear line between traditional natural-product knowledge and cutting-edge in silico methods, offering a fresh road map for researchers, students, and industry professionals.

Discover how phytochemistry and cheminformatics converge: comprehensive discussions of natural-product chemistry, structure–activity relationships, virtual screening, molecular docking, and the strategic use of public and proprietary databases. Practical insights explain how to curate compound libraries, prioritize leads, and integrate experimental and computational workflows—making this book an indispensable reference for medicinal chemists, pharmacologists, and bioinformatics specialists.

Written with clarity and rigor, the book balances foundational theory with applied examples so readers can immediately translate concepts into lab and industry settings. Whether you’re advancing academic research in Africa, Europe, Asia, the Americas, or working in pharmaceutical development, this title equips you with globally relevant tools and best practices for accelerating hit-to-lead and lead-optimization campaigns.

If you’re seeking a single, up-to-date resource that bridges natural Books and digital discovery pipelines, add Phytochemistry, Computational Tools, and Databases in Drug Discovery to your shelf. Order your copy today and empower your research with the integrated approaches shaping the future of drug discovery.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.