“Computational Chemistry: Methods and Applications in Drug Discovery” provides an in-depth exploration of the theoretical foundations, computational methods, and practical applications of computational chemistry in the context of drug discovery. The book covers a range of topics including molecular modeling, molecular dynamics simulations, quantum chemistry methods, and their application in predicting molecular interactions, drug binding affinities, and ADMET properties. It serves as a valuable resource for researchers, students, and professionals in the pharmaceutical and computational chemistry fields seeking to leverage computational tools for advancing drug discovery processes.
Engineering
Computational Chemistry: Methods and Applications in Drug Discovery
+ Free Shipping“Computational Chemistry: Methods and Applications in Drug Discovery” offers a concise yet comprehensive overview of computational techniques used in drug discovery. It covers key topics such as molecular modeling, molecular dynamics simulations, and quantum chemistry methods. The book emphasizes their practical applications in predicting molecular interactions, drug properties, and optimizing drug candidates. This essential resource is tailored for researchers and practitioners in pharmaceutical sciences and computational chemistry, facilitating advancements in drug development through computational approaches.
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