Modeling Inhibitors of Matrix Metalloproteinases 1st Edition

Modeling Inhibitors of Matrix Metalloproteinases, 1st Edition by Tarun Jha is an authoritative, practical guide for scientists and drug developers working at the intersection of computational chemistry and enzymology. Clear, current and application-focused, this volume demystifies the processes that drive discovery of potent MMP inhibitors—essential tools in treating cancer, fibrosis, cardiovascular and inflammatory diseases.

Start with concise overviews of Matrix Metalloproteinases (MMPs) biology and clinical relevance, then move into hands-on chapters covering molecular docking, QSAR, molecular dynamics, structure-based drug design, and in silico screening strategies tailored to MMP targets. Jha blends theoretical rigor with step-by-step modeling workflows, real-case analyses and interpretable examples that translate complex algorithms into usable insights for medicinal chemists and structural biologists.

Designed for researchers, graduate students and pharmaceutical teams, this book emphasizes reproducible workflows and decision-making: how to prioritize scaffolds, predict selectivity, and reduce off-target effects. Whether you’re in an academic lab in North America, a biotech startup in Europe, or a research group in Asia-Pacific, Jha’s methods boost efficiency and improve hit-to-lead progression.

Practical yet scholarly, the text equips readers to integrate computational approaches into experimental pipelines, accelerating lead optimization and supporting patent-ready development. If you’re focused on translational research or precision therapeutics, this book is an essential reference that connects modeling theory to tangible drug design outcomes.

Advance your MMP inhibitor program with a resource that combines scientific depth and practical usability. Add Modeling Inhibitors of Matrix Metalloproteinases by Tarun Jha to your professional library today.

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