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Titlebook: Computer-Aided Drug Design; Dev Bukhsh Singh Book 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springe

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发表于 2025-3-21 16:16:25 | 显示全部楼层 |阅读模式
书目名称Computer-Aided Drug Design
编辑Dev Bukhsh Singh
视频videohttp://file.papertrans.cn/235/234441/234441.mp4
概述Explores the application of computational tools in drug design, discovery, and development.Presents method for identifying small-molecule binding pockets in proteins.Reviews the impact of ADME profili
图书封面Titlebook: Computer-Aided Drug Design;  Dev Bukhsh Singh Book 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springe
描述.This book provides up-to-date information on bioinformatics tools for the discovery and development of new drug molecules. It discusses a range of computational applications, including three-dimensional modeling of protein structures, protein-ligand docking, and molecular dynamics simulation of protein-ligand complexes for identifying desirable drug candidates. It also explores computational approaches for identifying potential drug targets and for pharmacophore modeling.. ..Moreover, it presents structure- and ligand-based drug design tools to optimize known drugs and guide the design of new molecules. The book also describes methods for identifying small-molecule binding pockets in proteins, and summarizes the databases used to explore the essential properties of drugs, drug-like small molecules and their targets. In addition, the book highlights various tools to predict the absorption, distribution, metabolism, excretion (ADME) and toxicity (T) of potential drug candidates. Lastly, it reviews in silico tools that can facilitate vaccine design and discusses their limitations..
出版日期Book 2020
关键词Pharmacophore modeling; Lead compounds; Molecular Docking; Molecular Dynamics simulation; Pharmacokineti
版次1
doihttps://doi.org/10.1007/978-981-15-6815-2
isbn_softcover978-981-15-6817-6
isbn_ebook978-981-15-6815-2
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Molecular Modeling of Proteins: Methods, Recent Advances, and Future Prospects,e approach of molecular modeling is based on the understanding of algorithms of protein structure prediction. This chapter illustrates the salient features of molecular modeling methods for a reliable and accurate structure prediction of the proteins in the field of drug designing.
发表于 2025-3-22 06:30:15 | 显示全部楼层
Cavity/Binding Site Prediction Approaches and Their Applications,l titration calorimetry are used to determine the binding site of proteins. For drug discovery, it is inevitable to use high throughput screening of binding sites of proteins, and computational methods give an efficient and cost-effective way of analyzing the same. Several algorithms, tools, and sof
发表于 2025-3-22 12:07:48 | 显示全部楼层
Database Resources for Drug Discovery,ule equivalence among databases is not possible. Advances in methodology to find molecules with a similar structure are now possible due to the hyperlinking of similar molecules in various databases. This chapter discusses the chemical and molecular target databases in detail, which play a vital rol
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,Molecular Dynamics Simulation of Protein and Protein–Ligand Complexes,ER, CHARMM-GUI, and NAMD are the most widely used methods for MD simulation that can provide precise information on the motions and flexibility of a protein, which contributes to the interaction dynamics of protein–ligand complexes. MD simulation has several other practical applications in diverse r
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Computational Screening Techniques for Lead Design and Development,perties, and the predictive equation has been derived for the assessment of the biological response of a compound using molecular descriptors. Bioinformatics and Cheminformatics database in houses several million of compounds with similar architecture and biological properties. Screening and identif
发表于 2025-3-23 07:03:31 | 显示全部楼层
Advances in Pharmacophore Modeling and Its Role in Drug Designing,g these techniques as well as variations of these techniques, millions of compounds can be screened in a matter of hours to shortlist actives. Variations might be based on building a pharmacophore by the energy contribution of features in a single molecule against a specific target. Otherwise, based
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