This book introduces computational methods in chemistry that support modern drug discovery. It explores molecular modeling, quantum mechanics, and simulation techniques used to predict drug behavior and interaction. Students and researchers will learn how in silico tools accelerate pharmaceutical development, improve accuracy, and reduce costs. Through case studies and real-world applications, this book bridges theory with practice in the realm of medicinal chemistry and bioinformatics.
Engineering
Computational Chemistry: Methods and Applications in Drug Discovery
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