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Drug Design 1st Edition 2022 Hardbound at Meripustak

Drug Design 1st Edition 2022 Hardbound by Kumar, T. Durai Ananda, Taylor and Francis Ltd

Books from same Author: Kumar, T. Durai Ananda

Books from same Publisher: Taylor and Francis Ltd

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  • General Information  
    Author(s)Kumar, T. Durai Ananda
    PublisherTaylor and Francis Ltd
    Edition1st Edition
    ISBN9781032288420
    Pages474
    BindingHardbound
    LanguageEnglish
    Publish YearJune 2022

    Description

    Taylor and Francis Ltd Drug Design 1st Edition 2022 Hardbound by Kumar, T. Durai Ananda

    The newer research areas in pharmaceutical sciences, particularly molecular modeling and simulations, prompted a more efficient drug discovery process. Informatics integrated with pharmaceutical sciences (cheminformatics and bioinformatics) became an essential component of drug research. Drug informatics such as genomics and proteomics assists in the Rational Drug Design (RDD). This emerging discipline is known as "Computer-Aided Drug Design" (CADD), which has profound application in RDD. The advanced and adequate practice in drug design informatics is essential for pharmacy graduates. Hence, a companion for acquiring knowledge on these concepts is vital. The students of B. Pharmacy, M. Pharmacy (Pharmaceutical Chemistry, Pharmacology, and Pharmaceutics), biotechnology, biomedical engineering and other interdisciplinary fields may find this book as a reference guide. The salient features of this book are: * Systematic and simple approach * Emphasis on traditional and modern drug design strategies * Comprehensive coverage for the current advances in the drug design * Experimental section to ensure hands-on-experienceNote: T& F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. 1. Drug Discovery Informatics 2. Receptors 3. Molecular Biology 4. Drug Discovery and Development 5. Quantitative - Structure Activity Relationship (QSAR) 6. Molecular Modeling 7. Virtual Screening 8. Molecular Docking 9. Sequence Analysis 10. Pairwise Sequence Alignment (PSA) 11. Molecular Evolution, Multiple Sequence Alignment (MSA) and Phylogenetic Analysis 12. Gene Prediction, Hidden Markov Model and Motif Identification 13. Structure Prediction



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