Cheminformatics, Qsar and Machine Learning Applications for Novel Drug Development Roy Kunal
Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development showcases different structure-based, ligand-based and machine learning tools currently used in drug design. The book…
Specifikacia Cheminformatics, Qsar and Machine Learning Applications for Novel Drug Development Roy Kunal
Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development showcases different structure-based, ligand-based and machine learning tools currently used in drug design. The book also highlights special topics of computational drug design together with available tools and databases. Sections cover recent trends in computational modeling of drugs, QSAR in medicinal chemistry, structure-based methods, chemoinformatics and chemometric approaches, machine learning methods, and case studies, including molecular descriptors, molecular similarity, statistical methods for QSAR, structure-based based screening, homology modeling in protein structure predictions, molecular docking, stability of drug receptor interactions, quantum chemical approaches, deep learning and support vector machine in drug design.Final sections cover the design of green
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