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Computational Methods for Protein Structure Prediction and Modeling: Volume 1: Basic Characterization (Biological and Medical Physics, Biomedical Engineering) - Softcover
Volume One of this two-volume sequence focuses on the basic characterization of known protein structures, and structure prediction from protein sequence information. Eleven chapters survey of the field, covering key topics in modeling, force fields, classification, computational methods, and structure prediction. Each chapter is a self contained review covering definition of the problem and historical perspective; mathematical formulation; computational methods and algorithms; performance results; existing software; strengths, pitfalls, challenges, and future research.
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Volume one of this two volume sequence focuses on the basic characterization of known protein structures as well as structure prediction from protein sequence information. The 11 chapters provide an overview of the field, covering key topics in modeling, force fields, classification, computational methods, and struture prediction. Each chapter is a self contained review designed to cover (1) definition of the problem and an historical perspective, (2) mathematical or computational formulation of the problem, (3) computational methods and algorithms, (4) performance results, (5) existing software packages, and (6) strengths, pitfalls, challenges, and future research directions.
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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Computational Methods for Protein Structure Prediction and Modeling: Volume 1: Basic Characterization (Biological and Medical Physics, Biomedical Engineering) by Xu, Ying [Paperback ]
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Computational Methods for Protein Structure Prediction and Modeling: Volume 1: Basic Characterization (Biological and Medical Physics, Biomedical Engineering)
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Computational Methods for Protein Structure Prediction and Modeling: Volume 1: Basic Characterization
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Computational Methods for Protein Structure Prediction and Modeling
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Volume One of this two-volume sequence focuses on the basic characterization of known protein structures, and structure prediction from protein sequence information. Eleven chapters survey of the field, covering key topics in modeling, force fields, classification, computational methods, and structure prediction. Each chapter is a self contained review covering definition of the problem and historical perspective; mathematical formulation; computational methods and algorithms; performance results; existing software; strengths, pitfalls, challenges, and future research. 420 pp. Englisch. Seller Inventory # 9781441922052
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Computational Methods for Protein Structure Prediction and Modeling
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses a broad interdisciplinary audience in biophysics and biochemistry, molecular and cell biology, computational biology, and bioinformaticsProvides a comprehensive overview of protein biophysics for both professionals and graduate stud. Seller Inventory # 4172734
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Computational Methods for Protein Structure Prediction and Modeling : Volume 1: Basic Characterization
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Book Description Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - An ultimate goal of modern biology is to understand how the genetic blueprint of cells(genotype)determinesthestructure,function,andbehaviorofalivingorganism (phenotype). At the center of this scienti c endeavor is characterizing the bioch- ical and cellular roles of proteins, the working molecules of the machinery of life. A key to understanding of functional proteins is the knowledge of their folded str- tures in a cell, as the structures provide the basis for studying proteins' functions and functional mechanisms at the molecular level. Researchers working on structure determination have traditionally selected - dividual proteins due to their functional importance in a biological process or pa- way of particular interest. Major research organizations often have their own protein X-ray crystallographic or/and nuclear magnetic resonance facilities for structure - termination, which have been conducted at a rate of a few to dozens of structures a year. Realizing the widening gap between the rates of protein identi cation (through DNA sequencing and identi cation of potential genes through bioinformatics an- ysis) and the determination of protein structures, a number of large scienti c init- tives have been launched in the past few years by government funding agencies in the United States, Europe, and Japan, with the intention to solve protein structures en masse, an effort called structural genomics. A number of structural genomics centers (factory-like facilities) have been established that promise to produce solved protein structures in a similar fashion to DNA sequencing. Seller Inventory # 9781441922052
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Book Description Paperback. Condition: Brand New. 394 pages. 9.00x6.00x0.99 inches. In Stock. Seller Inventory # x-1441922059
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Computational Methods for Protein Structure Prediction and Modeling
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Book Description Condition: New. Editor(s): Xu, Ying; Xu, Dong; Liang, Jie. Series: Biological and Medical Physics, Biomedical Engineering. Num Pages: 416 pages, 88 black & white illustrations, 19 black & white tables, biography. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 22. Weight in Grams: 640. . 2010. Softcover reprint of hardcover 1st ed. 2007. Paperback. . . . . Seller Inventory # V9781441922052
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Computational Methods for Protein Structure Prediction and Modeling
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Book Description Condition: New. Editor(s): Xu, Ying; Xu, Dong; Liang, Jie. Series: Biological and Medical Physics, Biomedical Engineering. Num Pages: 416 pages, 88 black & white illustrations, 19 black & white tables, biography. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 22. Weight in Grams: 640. . 2010. Softcover reprint of hardcover 1st ed. 2007. Paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9781441922052
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