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    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
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Computational Methods for Macromolecules: Challenges and Applications: Proceedings of the 3rd International Workshop on Algorithms for Macromolecular

Computational Methods for Macromolecules: Challenges and Applications: Proceedings of the 3rd International Workshop on Algorithms for Macromolecular

Schlick, Tamar
Gan, Hin H.

Paperback

Series: Lecture Notes in Computational Science and Engineering, Book 24

Technology & EngineeringChemistryPhysics

ISBN10: 3540437568
ISBN13: 9783540437567
Publisher: Springer Nature
Published: Aug 6 2002
Pages: 504
Weight: 1.59
Height: 1.05 Width: 6.14 Depth: 9.21
Language: English
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.

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