Book > Concepts And Experimental Protocols Of Modelling And Informatics In Drug Design

Concepts and Experimental Protocols of Modelling and Informatics in Drug Design

Concepts and Experimental Protocols of Modelling and Informatics in Drug Design

Detail Book : Concepts and Experimental Protocols of Modelling and Informatics in Drug Design written by Om Silakari, published by Academic Press which was released on 05 November 2020. Download Concepts and Experimental Protocols of Modelling and Informatics in Drug Design Books now! Available in PDF, ePub and Kindle. Concepts and Experimental Protocols of Modelling and Informatics in Drug Design discusses each experimental protocol utilized in the field of bioinformatics, focusing especially on computer modeling for drug development. It helps the user in understanding the field of computer-aided molecular modeling (CAMM) by presenting solved exercises and examples. The book discusses topics such as fundamentals of molecular modeling, QSAR model generation, protein databases and how to use them to select and analyze protein structure, and pharmacophore modeling for drug targets. Additionally, it discusses data retrieval system, molecular surfaces, and freeware and online servers. The book is a valuable source for graduate students and researchers on bioinformatics, molecular modeling, biotechnology and several members of biomedical field who need to understand more about computer-aided molecular modeling. Presents exercises with solutions to aid readers in validating their own protocol Brings a thorough interpretation of results of each exercise to help readers compare them to their own study Explains each parameter utilized in the algorithms to help readers understand and manipulate various features of molecules and target protein to design their study

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Author : Om Silakari
Release Date : 05 November 2020
Publisher : Academic Press
Rating : 4/5 (from 21 users)
Pages : 396
ISBN : 0128205474
Format : PDF, ePUB, KF8, PDB, MOBI, Tuebl
Concepts and Experimental Protocols of Modelling and Informatics in Drug Design

Concepts and Experimental Protocols of Modelling and Informatics in Drug Design

Concepts and Experimental Protocols of Modelling and Informatics in Drug Design discusses each experimental protocol utilized in the field of bioinformatics, focusing especially on computer modeling for drug development. It helps the user in understanding the field of computer-aided molecular modeling (CAMM) by presenting solved exercises and examples. The book

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Quantitative Molecular Pharmacology and Informatics in Drug Discovery

Quantitative Molecular Pharmacology and Informatics in Drug Discovery

Quantitative Molecular Pharmacology and Informatics in Drug Discovery Michael Lutz, Section Head, Cheminformatics Group and Terry Kenakin, Principal Research Scientist, Glaxo Wellcome Research and Development, Research Triangle Park, NC, USA Quantitative Molecular Pharmacology and Informatics in Drug Discovery combines pharmacology, genetics and statistics to provide a complete guide to the

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Chemoinformatics Approaches to Virtual Screening

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Chemoinformatics is broadly a scientific discipline encompassing the design, creation, organization, management, retrieval, analysis, dissemination, visualization and use of chemical information. It is distinct from other computational molecular modeling approaches in that it uses unique representations of chemical structures in the form of multiple chemical descriptors; has its own metrics

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Chemoinformatics is paramount to current drug discovery. Structure- and ligand-based drug design strategies have been used to uncover hidden patterns in large amounts of data, and to disclose the molecular aspects underlying ligand-receptor interactions. This Research Topic aims to share with a broad audience the most recent trends in the

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Modeling and Informatics in Drug Design

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Structural Bioinformatics  Applications in Preclinical Drug Discovery Process

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This important new book provides innovative material, including peer-reviewed chapters and survey articles on new applied research and development, in the scientifically important field of QSAR in medicinal chemistry. QSAR is a growing field because available computing power is continuously increasing, QSAR’s potential is enormous, limited only by the

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