Overview
This special volume collects invited articles by participants of the Third International Workshop on Methods for Macromolecular Modeling, Courant Institute of Mathematical Sciences, Oct. 12-14, 2000. Leading developers of methods for biomolecular simulations review advances in Monte Carlo and molecular dynamics methods, free energy computational methods, fast electrostatics (particle-mesh Ewald and fast multipole methods), mathematics, and molecular neurobiology, nucleic acid simulations, enzyme reactions, and other essential applications in biomolecular simulations. A Perspectives article by the editors assesses the directions and impact of macromolecular modeling research, including genomics and proteomics. These reviews and original papers by applied mathematicians, theoretical chemists, biomedical researchers, and physicists are of interest to interdisciplinary research students, developers and users of biomolecular methods in academia and industry.
Full Product Details
Author: Tamar Schlick ,
Hin H. Gan
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition: Softcover reprint of the original 1st ed. 2002
Volume: 24
Dimensions:
Width: 15.50cm
, Height: 2.70cm
, Length: 23.50cm
Weight: 0.872kg
ISBN: 9783540437567
ISBN 10: 3540437568
Pages: 504
Publication Date: 06 August 2002
Audience:
College/higher education
,
Professional and scholarly
,
Postgraduate, Research & Scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Out of stock

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Reviews
POLYMER NEWS <p>REVIEW BY ANDRZEJ KLOCZKOWSKI, BAKER CENTER FOR BIOINFORMATICS AND BIOLOGICAL STATISTICS, IOWA STATE UNIVERSITY <p> The authors of the articles in the book are the top specialists in their fields and the book presents the current state of the art for the broad spectrum of all currently used methods and techniques of macromolecular modeling. The book might be very useful for all readers interested in the computational modeling of macromolecules. Several articles in the book cover different aspects of protein modeling, so I would highly recommend this book to all readers interested in modeling of proteins.