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by Tamar Schlick,Hin H. Gan
Download Advances in Computational Methods for Macromolecular Modeling fb2
Biological Sciences
  • Author:
    Tamar Schlick,Hin H. Gan
  • ISBN:
    3540437568
  • ISBN13:
    978-3540437567
  • Genre:
  • Publisher:
    Springer; Softcover reprint of the original 1st ed. 2002 edition (September 17, 2002)
  • Pages:
    513 pages
  • Subcategory:
    Biological Sciences
  • Language:
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  • Rating:
    4.9
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Tamar Schlick, Hin H. Ga. This special volume collects invited articles by participants of the Third International Workshop on Methods for Macromolecular Modeling, Courant Institute of Mathematical Sciences, Oct.

Tamar Schlick, Hin H. Gan. Springer Science & Business Media, 6 Ara 2012 - 504 sayfa. 12-14, 2000.

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. Show all. Table of contents (19 chapters). Methods for Macromolecular Modeling (M3): Assessment of Progress and Future Perspectives.

Hin Hark Gan. Conference proceedings. Hin Hark Gan, Tamar Schlick. Biomolecular Dynamics Applications.

Электронная книга "Computational Methods for Macromolecules: Challenges and Applications: Proceedings of the 3rd International Workshop on Algorithms for Macromolecular Modeling, New York, October 12–14, 2000", Tamar Schlick, Hin H. Э. . Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Computational Methods for Macromolecules: Challenges and Applications: Proceedings of the 3rd International Workshop on Algorithms for Macromolecular Modeling, New York, October. Springer Science & Business Media, Dec 6, 2012 - Mathematics - 504 pages.

Автор: Schlick Tamar, Gan Hin H. Название: Computational Methods for Macromolecules: Challenges and Applications, Proceedings of the 3rd International Workshop on Algorithms for Macromolecular Modeling, New York, October 12-14, 2000 ISBN: 3540437568 ISBN-13(EAN).

Описание: This special volume collects invited articles by participants of the Third International Workshop on Methods for Macromolecular Modeling, Courant Institute of Mathematical Sciences, Oct.

Computational Methods for Macromolecules book.

Computational Methods for Macromolecules: Challenges and Applications Proceedings of the 3rd International Workshop on Algorithms for Macromolecular Modeling, New York, October 12-14, 2000 Tamar Schlick and Hin H. Gan, both, New York University, New York (Ed. 12-14, 2000

Implicit methods for modeling protein electrostatics require dielectric properties of the system to be known, in particular, th.

A Rosetta Conference (RosettaCon) describing updates to the Rosetta source code is held annually. Implicit methods for modeling protein electrostatics require dielectric properties of the system to be known, in particular, the value of the dielectric constant of protein.

Tamar Schlick, Hin Hark Ga.

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. 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.

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.