Friesner Computational Methods for Protein Folding, Volume 120

1. Auflage 2004
ISBN: 978-0-471-46523-2
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, Band 120, 544 Seiten, E-Book

Reihe: Advances in Chemical Physics

Since the first attempts to model proteins on a computer beganalmost thirty years ago, our understanding of protein structure anddynamics has dramatically increased. Spectroscopic measurementtechniques continue to improve in resolution and sensitivity,allowing a wealth of information to be obtained with regard to thekinetics of protein folding and unfolding, and complementing thedetailed structural picture of the folded state. Concurrently,algorithms, software, and computational hardware have progressed tothe point where both structural and kinetic problems may be studiedwith a fair degree of realism. Despite these advances, many majorchallenges remain in understanding protein folding at both theconceptual and practical levels.
Computational Methods for Protein Folding seeks toilluminate recent advances in computational modeling of proteinfolding in a way that will be useful to physicists, chemists, andchemical physicists. Covering a broad spectrum of computationalmethods and practices culled from a variety of research fields, theeditors present a full range of models that, together, provide athorough and current description of all aspects of protein folding.A valuable resource for both students and professionals in thefield, the book will be of value both as a cutting-edge overview ofexisting information and as a catalyst for inspiring newstudies.
Computational Methods for Protein Folding is the120th volume in the acclaimed series Advances in Chemical Physics,a compilation of scholarly works dedicated to the dissemination ofcontemporary advances in chemical physics, edited by NobelPrize-winner Ilya Prigogine.

Autoren/Hrsg.

Friesner, Richard A.

Weitere Mitwirkende

Prigogine, I.

Rice, Stuart A.

Inhaltsverzeichnis

Statistical Analysis of Protein Folding Kinetics (A. Dinner, etal).
Insights into Specific Problems in Protein Folding Using SimpleConcepts (D. Thirumalai, et al.).
Protein Recognition by Sequence-to-Structure Fitness: BridgingEfficiency and Capacity of Threading Models (J. Meller and R.Elber).
A Unified Approach to the Prediction of Protein Structure andFunction (J. Skolnick and A. Kolinski).
Knowledge-Based Prediction of Protein Tertiary Structure (P.L'Heureux, et al.).
Ab Initio Protein Structure Prediction Using a Size-DependentTertiary Folding Potential (V. Eyrich, et al.).
Deterministic Global Optimization and Ab Initio Approaches for theStructure Prediction of Polypeptides, Dynamics of Protein Folding,and Protein-Protein Interactions (J. Klepeis, et al.).
Detecting Native Protein Folds Among Large Decoy Sites with theOPLS All-Atom Potential and the Surface Generalized Born SolventModel (A. Wallqvist, et al.).
Author Index.
Subject Index.

Über Autor(innen)

Richard Friesner is Professor of Chemistry at Columbia University.