Computational Methods for Protein Structure Prediction and Modeling Volume 1: Basic Characterization

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 m...

Full description

Corporate Author: SpringerLink (Online service)
Other Authors: Xu, Ying (Editor), Xu, Dong (Editor), Liang, Jie (Editor)
Format: eBook
Language:English
Published: New York, NY Springer New York 2007, 2007
Edition:1st ed. 2007
Series:Biological and Medical Physics, Biomedical Engineering
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Summary: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
Physical Description:XX, 396 p. 88 illus online resource
ISBN:9780387683720