Drug discovery and development is a very expensive and time-consuming process. To improve the efficiency of the pipeline, Computer-Aided Drug Design (CADD) has become increasingly important over the years. CADD represents an interplay paradigm between in-depth in silico studies and the follow-up wet-lab validations. However we have not achieved true synergy among various computational subdisciplines, such as cheminformatics and bioinformatics. This book, therefore, focuses on the design, development and applications of novel approaches for CADD and protein structure bioinformatics. These approaches were developed in the areas of both ligand-based and structure-based drug design. In addition, Simplicial Neighborhood Analysis of Protein Packing (SNAPP) has been employed for the analysis of protein flexibility. This has resulted in powerful and cutting-edge computational tools for the rational drug design and the prediction of unintuitive consequences of targeted therapeutics. The work should help shed some light on this exciting field, and should be especially useful to professionals in computational drug discovery and other biomedical research-related areas.
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Drug discovery and development is a very expensive and time-consuming process. To improve the efficiency of the pipeline, Computer-Aided Drug Design (CADD) has become increasingly important over the years. CADD represents an interplay paradigm between in-depth in silico studies and the follow-up wet-lab validations. However we have not achieved true synergy among various computational subdisciplines, such as cheminformatics and bioinformatics. This book, therefore, focuses on the design, development and applications of novel approaches for CADD and protein structure bioinformatics. These approaches were developed in the areas of both ligand-based and structure-based drug design. In addition, Simplicial Neighborhood Analysis of Protein Packing (SNAPP) has been employed for the analysis of protein flexibility. This has resulted in powerful and cutting-edge computational tools for the rational drug design and the prediction of unintuitive consequences of targeted therapeutics. The work should help shed some light on this exciting field, and should be especially useful to professionals in computational drug discovery and other biomedical research-related areas.
Shuxing Zhang, Ph.D.: Studied Computational Drug Discovery and Medicinal Chemistry at the University of North Carolina at Chapel Hill. Currently Assistant Professor in the Department of Experimental Therapeutics and Director of Molecular Modeling Core Facility at M.D. Anderson Cancer Center, Houston, USA.
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zhang ShuxingShuxing Zhang, Ph.D.: Studied Computational Drug Discovery and nMedicinal Chemistry at the University of North Carolina at nChapel Hill. Currently Assistant Professor in the Department of nExperimental Therapeutics and D. Nº de ref. del artículo: 4963214
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Drug discovery and development is a very expensiveand time-consuming process. To improve the efficiency of the pipeline, Computer-Aided DrugDesign (CADD) has become increasingly important overthe years. CADD represents an interplay paradigmbetween in-depth in silico studies and the follow-upwet-lab validations. However we have not achievedtrue synergy among various computationalsubdisciplines, such as cheminformatics andbioinformatics. This book, therefore, focuses on thedesign, development and applications of novelapproaches for CADD and protein structurebioinformatics. These approaches were developed inthe areas of both ligand-based and structure-baseddrug design. In addition, Simplicial NeighborhoodAnalysis of Protein Packing (SNAPP) has beenemployed for the analysis of protein flexibility.This has resulted in powerful and cutting-edgecomputational tools for the rational drug design andthe prediction of unintuitive consequences oftargeted therapeutics. The work should help shedsome light on this exciting field, and should beespecially useful to professionals in computationaldrug discovery and other biomedical research-related areas. Nº de ref. del artículo: 9783639164152
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Taschenbuch. Condición: Neu. Structure/Ligand-based Drug Design and Structure Bioinformatics | Basics, Concepts, Methods, and Applications | Shuxing Zhang | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639164152 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Nº de ref. del artículo: 101553683
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