Computational Drug Discovery 1st Edition

Grab the forefront of modern pharmaceutical research with Computational Drug Discovery 1st Edition by Vasanthanathan Poongavanam, a practical and authoritative guide that bridges theory and real-world application. This clear, contemporary text invites readers into the rapidly evolving world of in silico drug design and cheminformatics.

Inside, you’ll find a well-paced exploration of essential methodologies — molecular modeling, structure- and ligand-based design, virtual screening, QSAR, and ADMET prediction — explained with clarity and supported by practical workflows. Each chapter breaks complex algorithms and computational strategies into actionable steps, making advanced tools accessible to medicinal chemists, computational scientists, pharmacologists, and graduate students.

Why this edition matters: the book emphasizes reproducible workflows and case studies that mirror challenges faced by academic labs and pharmaceutical teams across Asia, Europe, North America, and beyond. It equips readers to evaluate targets, prioritize compounds, and integrate computational pipelines into early-stage discovery, improving speed and decision-making in drug development.

Whether you’re transitioning from bench to in silico methods or seeking to sharpen your computational toolkit, this edition delivers the conceptual rigor and hands-on insight needed to succeed. Engaging, authoritative, and practical, it’s an indispensable resource for anyone involved in modern drug design.

Add Computational Drug Discovery 1st Edition by Vasanthanathan Poongavanam to your collection today and start transforming data into drug candidates with confidence.

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