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Other titles in the Biological and Medical Physics: Biomedical Engineering series:

Computational Methods for Protein Structure and Modeling 1: Basic Characterization, Vol. 1 (07 Edition)

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Computational Methods for Protein Structure and Modeling 1: Basic Characterization, Vol. 1 (07 Edition) Cover

 

Synopses & Reviews

Please note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.

Publisher Comments:

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. Key Features Addresses a broad interdisciplinary audience in biophysics and biochemistry, molecular and cell biology, computational biology, and bioinformatics Provides a comprehensive overview of protein biophysics for both professionals and graduate students Presents computational methods for all major aspects of protein structure analysis Each chapter offers a self-contained review

Synopsis:

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.

Synopsis:

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.

About the Author

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.

Table of Contents

Modeling Protein Structures.- Empirical Force Fields.- Knowledge-based Energy Functions for Computational Studies of Proteins.

Product Details

ISBN:
9780387333199
Author:
Xu
Publisher:
Springer
Editor:
Xu, Ying
Editor:
Xu, Dong
Editor:
Liang, Jie
Author:
Liang, Jie
Author:
Xu, Ying
Author:
Xu, Dong
Subject:
Mathematical models
Subject:
Proteins
Subject:
Life Sciences - Biophysics
Subject:
Life Sciences - Biology - General
Subject:
Life Sciences - Biochemistry
Subject:
Computational Biology
Subject:
Proteins -- Structure.
Subject:
Biophysics
Subject:
Biophysics and Biological Physics
Subject:
Proteomics
Subject:
Bioinformatics
Subject:
Bioinformatics <P>This book&nbsp;provides systematic technical expositions of the computational methods for all major aspects of protein structure analysis, prediction and modeling.&nbsp;The&nbsp;chapters&nbsp;have been designed&nbsp;to address comprehens
Subject:
Physics
Copyright:
Edition Description:
Book
Series:
Biological and Medical Physics, Biomedical Engineering
Series Volume:
Volume 1: Basic Char
Publication Date:
20061215
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
416
Dimensions:
235 x 155 mm 1670 gr

Related Subjects

Computers and Internet » Networking » General
Reference » Science Reference » Technology
Science and Mathematics » Biology » Biophysics
Science and Mathematics » Biology » General
Science and Mathematics » Chemistry » Biochemistry
Science and Mathematics » Environmental Studies » Environment
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics
Science and Mathematics » Physics

Computational Methods for Protein Structure and Modeling 1: Basic Characterization, Vol. 1 (07 Edition) Used Hardcover
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$187.00 In Stock
Product details 416 pages Springer - English 9780387333199 Reviews:
"Synopsis" by , 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.
"Synopsis" by , 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.
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