Computational Methods in Drug Discovery and Repurposing for Cancer Therapy 1st Edition

Grab the cutting edge of oncology research with Computational Methods in Drug Discovery and Repurposing for Cancer Therapy, 1st Edition by Ganji Purnachandra Nagaraju, Venkatesan Amouda, and Ampasala Dinakara Rao. This authoritative volume translates advanced in silico techniques into practical strategies for discovering and repurposing therapeutics against cancer.

Explore clear, step-by-step explanations of molecular modeling, chemoinformatics, virtual screening, systems biology, and machine learning approaches tailored to oncology challenges. The book balances theory with application—detailing workflows for target identification, lead optimization, and repositioning approved drugs—so researchers and clinicians can move from data to actionable hypotheses faster.

Ideal for graduate students, computational biologists, medicinal chemists, and oncology investigators in India and worldwide, this resource emphasizes reproducible methods and real-world case studies that demonstrate how computational pipelines accelerate bench-to-bedside translation. Practical insights show how to integrate genomic datasets, predictive modeling, and structure-based design to prioritize candidates and reduce development time and cost.

Whether you’re building pipelines, preparing grant proposals, or seeking new therapeutic angles for difficult cancers, this edition equips you with the tools and perspectives to innovate. Add this essential reference to your library and empower your research with proven computational strategies that drive modern drug discovery and repurposing in cancer therapy.

Order your copy today to stay at the forefront of computational oncology and transform data into therapeutic progress.

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