Multiscale Approaches to Protein Modeling

Author:   Andrzej Kolinski
Publisher:   Springer-Verlag New York Inc.
Edition:   2011 ed.
ISBN:  

9781441968883


Pages:   355
Publication Date:   15 October 2010
Format:   Hardback
Availability:   In Print   Availability explained
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Multiscale Approaches to Protein Modeling


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Overview

The book gives a comprehensive review of the most advanced multiscale methods for protein structure prediction, computational studies of protein dynamics, folding mechanisms and macromolecular interactions. It approaches span a wide range of the levels of coarse-grained representations, various sampling techniques and variety of applications to biomedical and biophysical problems. This book is intended to be used as a reference book for those who are just beginning their adventure with biomacromolecular modeling but also as a valuable source of detailed information for those who are already experts in the field of biomacromolecular modeling and in related areas of computational biology or biophysics.

Full Product Details

Author:   Andrzej Kolinski
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2011 ed.
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   0.709kg
ISBN:  

9781441968883


ISBN 10:   1441968881
Pages:   355
Publication Date:   15 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preface.- Lattice polymers and protein models.- Multiscale approach to protein and peptide docking.- Coarse-grained models of proteins: theory and applications.- Coarse-grained modeling of biomolecules with transferable force field.- Effective all-atom potentials for protein studies.- Statistical contact potentials in protein coarse-grained modeling: From pair to multi-body potentials.- Bridging the atomic and coarse-grained descriptions of collective motions in proteins.- Structure-based models of biomolecules: stretching of proteins, dynamics of knots, hydrodynamic effects, and indentation of virus capsids.- Sampling protein energy landscapes –the quest for efficient algorithms.- Protein structure prediction: from recognition of matches with known structures to recombination of fragments.- Genome-wide protein structure prediction using template fragment reassembly.- Multiscale approach to protein folding dynamics.- Error estimation of template-based protein structure models.- Evaluation of protein structure prediction methods: issues and strategies.- Index.

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