Editors:
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 24)
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Table of contents (19 papers)
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Front Matter
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Introduction
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Front Matter
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Biomolecular Dynamics Applications
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Front Matter
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Molecular Dynamics Methods
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Front Matter
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Monte Carlo Methods
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Front Matter
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Other Conformational Sampling Methods
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Front Matter
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Reviews
POLYMER NEWS
REVIEW BY ANDRZEJ KLOCZKOWSKI, BAKER CENTER FOR BIOINFORMATICS AND BIOLOGICAL STATISTICS, IOWA STATE UNIVERSITY
"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."
Editors and Affiliations
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Department of Chemistry, Courant Institute of Mathematical Sciences, New York University, New York, USA
Tamar Schlick, Hin Hark Gan
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Howard Hughes Medical Institute, New York, USA
Tamar Schlick, Hin Hark Gan
Bibliographic Information
Book Title: Computational Methods for Macromolecules: Challenges and Applications
Book Subtitle: Proceedings of the 3rd International Workshop on Algorithms for Macromolecular Modeling, New York, October 12–14, 2000
Editors: Tamar Schlick, Hin Hark Gan
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-642-56080-4
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2002
Softcover ISBN: 978-3-540-43756-7Published: 06 August 2002
eBook ISBN: 978-3-642-56080-4Published: 06 December 2012
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: IX, 504
Number of Illustrations: 4 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Biochemistry, general, Simulation and Modeling, Computer Appl. in Life Sciences, Computational Mathematics and Numerical Analysis, Theoretical, Mathematical and Computational Physics