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Computational Methods for Protein Structure Prediction and Modeling: Volume 2: Structure Prediction - Brossura
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Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics.
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Dr. Ying Xu is Regents-GRA Eminent Scholar and Professor at the University of Georgia. Dr. Dong Xu is the Director of the Digital Biology Laboratory at the University of Missouri-Columbia. Dr. Jie Liang is the Director for the Center for Bioinformatics at the University of Illinois at Chicago.
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Volume 2 of this two-volume sequence focuses on protein structure prediction and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics.
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Computational Methods for Protein Structure Prediction and Modeling: Volume 2: Structure Prediction (Biological and Medical Physics, Biomedical Engineering)
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Computational Methods for Protein Structure Prediction and Modeling: Volume 2: Structure Prediction (Biological and Medical Physics, Biomedical Engineering)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Computational Methods for Protein Structure Prediction and Modeling: Volume 2: Structure Prediction
Editore:
SPRINGER NATURE Dez 2010, 2010
ISBN 10: 1441922067
ISBN 13: 9781441922069
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics. 322 pp. Englisch. Codice articolo 9781441922069
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Computational Methods for Protein Structure Prediction and Modeling: Volume 2: Structure Prediction
Print on DemandDa: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a comprehensive overview of protein structure prediction methods Each chapter is a self contained review designed to cover (1) definition of the problem and an historical perspective, (2) mathematical or computational formu. Codice articolo 458483572
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Computational Methods for Protein Structure Prediction and Modeling : Volume 2: Structure Prediction
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Volume 2 of this two-volume sequence focuses on protein structure prediction and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics. Codice articolo 9781441922069
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Computational Methods for Protein Structure Prediction and Modeling: Volume 2: Structure Prediction (Biological and Medical Physics, Biomedical Engineering)
Da: Mispah books, Redhill, SURRE, Regno Unito
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Paperback. Condizione: Like New. Like New. book. Codice articolo ERICA78714419220676
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