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Titlebook: Computational Methods for Protein Structure Prediction and Modeling; Volume 1: Basic Char Ying Xu,Dong Xu,Jie Liang Book 2007 Springer-Verl

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書目名稱Computational Methods for Protein Structure Prediction and Modeling
副標題Volume 1: Basic Char
編輯Ying Xu,Dong Xu,Jie Liang
視頻videohttp://file.papertrans.cn/233/232740/232740.mp4
概述Addresses a broad interdisciplinary audience in biophysics and biochemistry, molecular and cell biology, computational biology, and bioinformatics.Provides a comprehensive overview of protein biophysi
叢書名稱Biological and Medical Physics, Biomedical Engineering
圖書封面Titlebook: Computational Methods for Protein Structure Prediction and Modeling; Volume 1: Basic Char Ying Xu,Dong Xu,Jie Liang Book 2007 Springer-Verl
描述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
出版日期Book 2007
關鍵詞Biophysics; algorithms; biochemistry; bioinformatics; modeling protein structures; protein sequence; prote
版次1
doihttps://doi.org/10.1007/978-0-387-68372-0
isbn_softcover978-1-4419-2205-2
isbn_ebook978-0-387-68372-0Series ISSN 1618-7210 Series E-ISSN 2197-5647
issn_series 1618-7210
copyrightSpringer-Verlag New York 2007
The information of publication is updating

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French Politics, Society and Culturen the twilight zone (usually between 20 and 35% sequence similarity), we need to resort to structural alignment and comparison for a meaningful analysis. Such a structural approach can be used for classification of proteins, isolation of structural motifs, and discovery of drug targets.
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Computation of Protein Geometry and Its Applications: Packing and Function Prediction,becomes an indispensable component in studies of modern biochemistry and molecular biology. Before we discuss methods for computing the geometry of protein molecules, we first briefly describe how protein structures are obtained experimentally.
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French Politics, Society and Culturer potential functions by optimization. Applications of knowledge-based potential functions in protein-decoy discrimination, in protein-protein interactions, and in protein design are then described. Several issues of knowledge-based potential functions are finally discussed.
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