GROMOS

Last updated
GROMOS
Developer(s) Wilfred van Gunsteren. Philippe Hünenberger, Sereina Riniker, Chris Oostenbrink
Initial release1978;43 years ago (1978)
Stable release
GROMOS 11 v1.5.0 / January 2021;9 months ago (2021-01)
Written in Fortran <= 1996,
C++ => 2011
Operating system Unix-like
Platform x86
Available inEnglish
Type Molecular dynamics
License Proprietary
Website www.gromos.net

GROningen MOlecular Simulation (GROMOS) is the name of a force field for molecular dynamics simulation, and a related computer software package. Both are developed at the University of Groningen, and at the Computer-Aided Chemistry Group [1] at the Laboratory for Physical Chemistry [2] at the Swiss Federal Institute of Technology (ETH Zurich). At Groningen, Herman Berendsen was involved in its development. [3]

Contents

The united atom force field was optimized with respect to the condensed phase properties of alkanes.

Versions

GROMOS87

Aliphatic and aromatic hydrogen atoms were included implicitly by representing the carbon atom and attached hydrogen atoms as one group centered on the carbon atom, a united atom force field. The van der Waals force parameters were derived from calculations of the crystal structures of hydrocarbons, and on amino acids using short (0.8 nm) nonbonded cutoff radii. [4]

GROMOS96

In 1996, a substantial rewrite of the software package was released. [5] [6] The force field was also improved, e.g., in the following way: aliphatic CHn groups were represented as united atoms with van der Waals interactions reparametrized on the basis of a series of molecular dynamics simulations of model liquid alkanes using long (1.4 nm) nonbonded cutoff radii. [7] This version is continually being refined and several different parameter sets are available. GROMOS96 includes studies of molecular dynamics, stochastic dynamics, and energy minimization. The energy component was also part of the prior GROMOS, named GROMOS87. GROMOS96 was planned and conceived during a time of 20 months. The package is made of 40 different programs, each with a different essential function. An example of two important programs within the GROMOS96 are PROGMT, in charge of constructing molecular topology and also PROPMT, changing the classical molecular topology into the path-integral molecular topology.

GROMOS05

An updated version of the software package was introduced in 2005. [8]

GROMOS11

The current GROMOS release is dated in May 2011.

Parameter sets

Some of the force field parameter sets that are based on the GROMOS force field. The A-version applies to aqueous or apolar solutions of proteins, nucleotides, and sugars. The B-version applies to isolated molecules (gas phase).

54

53

45

43

See also

Related Research Articles

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AMBER

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Force field (chemistry) Concept on molecular modeling

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Ascalaph Designer

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Local elevation is a technique used in computational chemistry or physics, mainly in the field of molecular simulation. It was developed in 1994 by Huber, Torda and van Gunsteren to enhance the searching of conformational space in molecular dynamics simulations and is available in the GROMOS software for molecular dynamics simulation. The method was, together with the conformational flooding method , the first to introduce memory dependence into molecular simulations. Many recent methods build on the principles of the local elevation technique, including the Engkvist-Karlström , adaptive biasing force , Wang–Landau, metadynamics, adaptively biased molecular dynamics , adaptive reaction coordinate forces , and local elevation umbrella sampling methods. The basic principle of the method is to add a memory-dependent potential energy term in the simulation so as to prevent the simulation to revisit already sampled configurations, which leads to the increased probability of discovering new configurations. The method can be seen as a continuous variant of the Tabu search method.

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Interatomic potential Functions for calculating potential energy

Interatomic potentials are mathematical functions to calculate the potential energy of a system of atoms with given positions in space. Interatomic potentials are widely used as the physical basis of molecular mechanics and molecular dynamics simulations in computational chemistry, computational physics and computational materials science to explain and predict materials properties. Examples of quantitative properties and qualitative phenomena that are explored with interatomic potentials include lattice parameters, surface energies, interfacial energies, adsorption, cohesion, thermal expansion, and elastic and plastic material behavior, as well as chemical reactions.

Q is a computer software package for molecular dynamics (MD) simulation. Unlike other MD codes, it has specialized since its conception on three specific types of free energy calculations. These calculations are based on the methods: empirical valence bond (EVB), free energy perturbation (FEP), and linear interaction energy (LIE), as well as, more recently, also path integral calculations using the bisection quantum classical path (BQCP) approach.

Herman Johan Christiaan Berendsen was a Dutch chemist. He was a professor of physical chemistry at the University of Groningen from 1967 to 1999.

Florian Müller-Plathe is a German theoretical chemist and professor for theoretical physical chemistry at Technische Universität Darmstadt.

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Bettina G. Keller is a professor for Theoretical Chemistry at Freie Universität Berlin.

References

  1. Computer-Aided Chemistry Group, ETH Zurich
  2. Laboratory for Physical Chemistry, ETH Zurich
  3. "Berni J. Alder CECAM Prize". Centre européen de calcul atomique et moléculaire. Archived from the original on 13 April 2016. Retrieved 25 April 2016.
  4. W. F. van Gunsteren and H. J. C. Berendsen, Groningen Molecular Simulation (GROMOS) Library Manual, BIOMOS b.v., Groningen, 1987.
  5. van Gunsteren, W. F.; Billeter, S. R.; Eising, A. A.; Hünenberger, P. H.; Krüger, P.; Mark, A. E.; Scott, W. R. P.; Tironi, I. G. Biomolecular Simulation: The GROMOS96 Manual and User Guide; vdf Hochschulverlag AG an der ETH Zürich and BIOMOS b.v.: Zürich, Groningen, 1996.
  6. "The GROMOS Biomolecular Simulation Program Package", W. R. P. Scott, P. H. Huenenberger, I. G. Tironi, A. E. Mark, S. R. Billeter, J. Fennen, A. E. Torda, T. Huber, P. Krueger and W. F. van Gunsteren. J. Phys. Chem. A, 103, 3596–3607.
  7. "An improved GROMOS96 force field for aliphatic hydrocarbons in the condensed phase". Journal of Computational Chemistry 22 (11), August 2001, 1205–1218 by Lukas D. Schuler, Xavier Daura, Wilfred F. van Gunsteren.
  8. "The GROMOS software for biomolecular simulation: GROMOS05". Christen M, Hünenberger PH, Bakowies D, Baron R, Bürgi R, Geerke DP, Heinz TN, Kastenholz MA, Kräutler V, Oostenbrink C, Peter C, Trzesniak D, van Gunsteren WF. J Comput Chem 26 (16): 1719–51 PMID   16211540
  9. 1 2 Schmid N., Eichenberger A., Choutko A., Riniker S., Winger M., Mark A. & van Gunsteren W., "Definition and testing of the GROMOS force-field versions 54A7 and 54B7", European Biophysics Journal, 40(7), (2011), 843–856 .
  10. 1 2 Oostenbrink C., Villa, A., Mark, A. E., and van Gunsteren, W., "A biomolecular force field based on the free enthalpy of hydration and solvation: the GROMOS force-field parameter sets 53A5 and 53A6", Journal of Computational Chemistry, 25, (2004), 1656–1676 .
  11. Schuler, L. D., Daura, X., and van Gusteren, W. F., An improved GROMOS96 force field for aliphatic hydrocarbons in the condensed phase, Journal of Computational Chemistry22(11), (2001), 1205–1218 .
  12. Soares, T. A., Hünenberger, P. H., Kastenholz, M. A., Kräutler, V., Lenz, T., Lins, R. D., Oostenbrink, C., and van Gunsteren, W. F., An improved nucleic acid parameter set for the GROMOS force field, Journal of Computational Chemistry, 26(7), (2005), 725–737, .
  13. 1 2 van Gunsteren, W. F., Billeter, S. R., Eking, A. A., Hiinenberger, P. H., Kriiger, P., Mark, A. E., Scott, W. R. P. and Tironi, I. G., Biomolecular Simulation, The GROMOS96 Manual and User Guide, vdf Hochschulverlag AG an der ETH Ziirich and BIOMOS b.v., Zurich, Groningen, 1996.