Computational Methods for Macromolecules: Challenges and Applications : Proceedings of the 3rd International Workshop on Algorithms for Macromolecular Modeling, New York, October 12¿14, 2000

Hin H. Gan

ISBN 10: 3540437568 / ISBN 13: 9783540437567

Published by Springer Berlin Heidelberg, 2002

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783540437567

Bibliographic Details

• Title: Computational Methods for Macromolecules: Challenges and Applications : Proceedings of the 3rd International Workshop on Algorithms for Macromolecular Modeling, New York, October 12¿14, 2000
• Publisher: Springer Berlin Heidelberg
• Publication Date: 2002
• Language: English
• ISBN 10: 3540437568
• ISBN 13: 9783540437567
• Binding: Taschenbuch
• Condition: Neu

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."