Computational Methods for Macromolecules: Challenges and Applications.

Tamar and Hin H Gan Schlick

ISBN 10: 3540437568 / ISBN 13: 9783540437567

Published by Berlin Springer Verlag

About this Item

Gebraucht - Gut Zustand: Gut, IX, 504 p. 183 illus., 14 in color. About this book 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. Written for researchers and graduate students in applied mathematics, computational biology, chemistry, physics. Seller Inventory # 17896

Bibliographic Details

Title: Computational Methods for Macromolecules: ...

Publisher: Berlin Springer Verlag

Binding: Softcover

Condition: Gut

About this title

Synopsis:

3 The workshop on Methods for Macromolecular Modeling (M ), held at New York University on 12- 14 October 2000, attracted 187 participants from Eu- rope, Asia, the Americas, and the Middle East. (see monod.biomath .nyu.eduj rvhganjconfOO.html for more information). The exciting program was made possible by the dedicated work of the international advisory committee whose members were P. Deuflhard, J. Hermans, B. Leimkuhler, A. E. Mark, S. Reich, T. Schlick, and R. Skeel. We are indebted to the following agen- cies and institutions for their generous support: the Burroughs Wellcome Fund, Department of Energy, National Science Foundation, National Insti- tutes of Health, Computational Biomedicine Initiative at Mount Sinai School of Medicine, and NYU's Courant Institute of Mathematical Sciences, Depart- ment of Chemistry, and Science Council. This volume is a collection of 19 review and original articles by the speak- 3 ers and participants of the M workshop. The topics covered include molecu- lar dynamics methods, Monte Carlo methods, other conformational sampling methods, free energy methods, long range interactions and fast electrostatics, and statistical approaches to protein structures. A perspective article intro- duces the contributions in this volume and reflects on future prospects in macromolecular modeling.

Review:

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."