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Titlebook: Computer-Aided Drug Discovery; Wei Zhang Book 2016 Springer Science+Business Media New York 2016 Computational technologies.Structure pred

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發(fā)表于 2025-3-21 17:22:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computer-Aided Drug Discovery
編輯Wei Zhang
視頻videohttp://file.papertrans.cn/235/234442/234442.mp4
概述Features practical, hands-on instruction for the use of CADD systems.Includes tips from experts in the field to ensure successful implementation.Focuses on the vital early stages of the drug discovery
叢書名稱Methods in Pharmacology and Toxicology
圖書封面Titlebook: Computer-Aided Drug Discovery;  Wei Zhang Book 2016 Springer Science+Business Media New York 2016 Computational technologies.Structure pred
描述.This detailed volume examines computer-aided drug discovery (CADD), a crucial component of modern drug discovery programs that is widely utilized to identity and optimize bioactive compounds for the development of new drugs. With a focus on the methods that are commonly used in the early stage of drug discovery, chapters explore computer simulation, structure prediction, conformational sampling, binding site mapping, docking and scoring, in silico screening, and fragment-based drug design.? In addition to the state-of-the-art theoretical concept, this book also includes step-by-step, readily reproducible computational protocols as well as examples of various CADD strategies.? The limitations and potential pitfalls of different computational methods are discussed by experts, and tips and advice for their applications are suggested...Practical and thorough, .Computer-Aided Drug Discovery. serves as an ideal addition to the?.Methods in Pharmacology and Toxicology. series, guiding researchers toward their lab’s goals with this exciting and versatile technology.
出版日期Book 2016
關(guān)鍵詞Computational technologies; Structure prediction; Fragment-based drug design; CADD; Binding site mapping
版次1
doihttps://doi.org/10.1007/978-1-4939-3521-5
isbn_softcover978-1-4939-8065-9
isbn_ebook978-1-4939-3521-5Series ISSN 1557-2153 Series E-ISSN 1940-6053
issn_series 1557-2153
copyrightSpringer Science+Business Media New York 2016
The information of publication is updating

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Mathematics Education in the Digital Erah experimental FBDD to significantly improve the efficiency and success rate of lead discovery and optimization. In this chapter, we describe the protocols of computational FBDD, the recent advances in new algorithms and some successful examples. Both the advantages and the limitations of various computational methods are also discussed.
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Agida G. Manizade,Nils Buchholtz,Kim Beswickthe iteratively derived knowledge-based scoring function and the ensemble docking method. In this chapter, we describe the methodology and usage of MDock for molecular docking and in silico screening. The MDock suite is freely available to academic users through applications at ..
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Investment Appraisal: Cost-Benefit Analysisly, we review several case studies to show what sort of information can be gained by simulation of biomedically interesting proteins, and how that may impact drug discovery, as well as a discussion of some areas in which simulation may prove more useful in the near future.
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Molecular Dynamics Simulations and Computer-Aided Drug Discovery,ly, we review several case studies to show what sort of information can be gained by simulation of biomedically interesting proteins, and how that may impact drug discovery, as well as a discussion of some areas in which simulation may prove more useful in the near future.
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Managing Quality in Public Servicesr practical approaches. This chapter summarizes basic principles and common techniques underlying ensemble docking, illustrates its use with several examples, and concludes with suggestions for future improvements.
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