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Equilibration and sampling in molecular dynamics simulations of biomolecules

J. Chem. Phys. 109, 10115 (1998); doi:10.1063/1.477703

Issue Date: 15 December 1998

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L. Stella
Department of Chemical Sciences and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, 00133 Rome, Italy

S. Melchionna
INFM-Department of Physics, University of Rome "La Sapienza", P. le A. Moro 5, 00185 Rome, Italy
In this Communication we analyze the relaxation to equilibrium of a biomolecule and its sampling of the equilibrium ensemble, by using simple collective observables. We demonstrate that the customary use of the root mean square positional deviation parameter from the initial structure of a molecular dynamics trajectory, to determine the attainment of a stationary state in a simulation of biomolecules, necessarily leads to an overestimation of the relaxation time; this causes a loss of precious data that otherwise could be used in the calculation of equilibrium properties. A simple and reliable alternative is suggested, by computing the root mean square deviation from several different reference conformations along the trajectory. ©1998 American Institute of Physics.
History: Received 27 July 1998; accepted 8 October 1998
Permalink: http://link.aip.org/link/?JCPSA6/109/10115/1
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KEYWORDS and PACS

Keywords
PACS
  • 87.15.He
    Biological and medical physics Molecular biophysics Molecular dynamics and conformational changes
  • 02.70.Ns
    Mathematical methods in physics Computational techniques Molecular dynamics and particle methods
  • 02.50.-r
    Mathematical methods in physics Probability theory, stochastic processes, and statistics
  • 02.60.-x
    Mathematical methods in physics Numerical approximation and analysis
  • YEAR: 1998

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PUBLICATION DATA

ISSN:
0021-9606 (print)   1089-7690 (online)
Publisher:
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REFERENCES (6)

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  1. H. J. C. Berendsen, Science 271, 954 (1996).
  2. S. F. Sneddon and C. L. Brooks III, in Molecular Structures in Biology, edited by R. Diamond (Oxford University Press, Oxford, 1993).
  3. L. Stella, M. Nicotra, G. Ricci, N. Rosato, and E. E. Di Iorio, Proteins: Struct. Funct. Genet. (submitted).
  4. W. F. van Gunsteren and A. E. Mark, Eur. J. Biochem. 204, 947 (1992).
  5. V. Daggett and M. Levitt, Annu. Rev. Biophys. Biomol. Struct. 22, 353 (1993).
  6. S. Melchionna, M. Falconi, and A. Desideri, J. Chem. Phys. 108, 6033 (1998).

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