The GROMOS Software Package for Biomolecular Simulations. GROMOS is an acronym of the GROningen MOlecular Simulation computer program package, which has been developed since 1978 for the dynamic modelling of (bio)molecules, until 1990 at the University of Groningen, The Netherlands, and since then at the ETH, the Swiss Federal Institute of Technology, in Zürich, Switzerland. Its development is driven by the research group of Wilfred van Gunsteren.

References in zbMATH (referenced in 25 articles , 1 standard article )

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  1. Mainini, Edoardo; Murakawa, H.; Piovano, Paolo; Stefanelli, Ulisse: Carbon-nanotube geometries as optimal configurations (2017)
  2. Stefanelli, Ulisse: Stable carbon configurations (2017)
  3. Friedrich, Manuel; Piovano, Paolo; Stefanelli, Ulisse: The geometry of $C_60$: a rigorous approach via molecular mechanics (2016)
  4. Almeida, Fabio C. L.; Moraes, Adolfo H.; Gomes-Neto, Francisco A. M.: An overview on protein structure determination by NMR: historical and future perspectives of the use of distance geometry methods (2013)
  5. Ruiz-Blanco, Yasser B.; Marrero-Ponce, Yovani; Paz, Waldo; García, Yamila; Salgado, Jesús: Global stability of protein folding from an empirical free energy function (2013)
  6. Xie, Jun-Yu; Ding, Guang-Hong: Studies on sensitivity to tension and gating pathway of MscL by molecular dynamic simulation (2013) ioport
  7. Yakubovich, Alexander V.; Solov’yov, Andrey V.; Greiner, Walter: Statistical mechanical theory of protein folding in water environment (2013)
  8. Lima, Angélica Nakagawa; Philot, Eric Allison; Perahia, David; Braz, Antonio Sérgio Kimus; Scott, Luis P. B.: GANM: A protein-ligand docking approach based on genetic algorithm and normal modes (2012)
  9. Lim, Teik-Cheng: Split series potential energy function (2011)
  10. Xie, Dexuan; Zarrouk, Mazen G.: Convergence analysis of truncated incomplete Hessian Newton minimization method and application in biomolecular potential energy minimization (2011)
  11. Lim, Teik-Cheng: Application of Kihara parameters in conventional molecular force fields (2010)
  12. Lim, Teik-Cheng: Approximation of the Dymond-Rigby-Smith potential function using the Lennard-Jones form (2009)
  13. Souaille, M.; Loirat, H.; Borgis, D.; Gaigeot, M. P.: MDVRY: a polarizable classical molecular dynamics package for biomolecules (2009)
  14. Karawajczyk, A.; Buda, F.: The anticancer drug bleomycin investigated by density functional theory (2006)
  15. Yaşar, F.; Demir, K.: Study of two bioactive peptides in vacuum and solvent by molecular modeling (2006)
  16. Christen, Markus; Hünenberger, Philippe H.; Bakowies, Dirk; Baron, Riccardo; Bürgi, Roland; Geerke, Daan P.; Heinz, Tim N.; Kastenholz, Mika A.; Kräutler, Vincent; Oostenbrink, Chris; Peter, Christine; Trzesniak, Daniel; Van Gunsteren, Wilfred F.: The GROMOS software for biomolecular simulation: GROMOS05. (2005) ioport
  17. Ziemys, A.; Kulys, J.: Heme peroxidase clothing and inhibition with polyphenolic substances revealed by molecular modeling (2005)
  18. Wypychowski, Jarosław; Pytliński, Jarosław; Skorwider, Łukasz; Nazaruk, Mirosław; Benedyczak, Krzysztof; Wroński, Michał; Bała, Piotr: Life sciences grid in EUROGRID and GRIP projects (2004)
  19. Stocker, Urs; Juchli, Daniel; van Gunsteren, Wilfred F.: Increasing the time step and efficiency of molecular dynamics simulations: Optimal solutions for equilibrium simulations or structure refinement of large biomolecules (2003)
  20. Carlini, P.; Bizzarri, A. R.; Cannistraro, S.: Temporal fluctuations in the potential energy of proteins: $1/f^\alpha$ noise and diffusion (2002)

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