A biomolecular force field based on the free enthalpy of hydration and solvation: The GROMOS force‐field parameter sets 53A5 and 53A6

By Chris Oostenbrink, A. Villa, Alan E. Mark, W. V. van Gunsteren. Journal of Computational Chemistry, 2004

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Nano-engineering of construction materials using molecular dynamics simulations: Prospects and challenges (2018, methodology): “The forcefields including CHARMM [117] and GROMOS [118] are commonly applied.”
Structural basis of histidine kinase autophosphorylation deduced by integrating genomics, molecular dynamics, and mutagenesis (2012, methodology): “In the explicit water simulation we used Amber99sb-ildn/TIP3P (24), Gromos43a1/ SPC, and Gromos53a6/SPC (25) with a 2-fs time step.”
Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development (2020, methodology): “Thereafter, several MD studies f SIRT2 have been carried out by Sakkiah and coworkers [80–83] using GROMACS with either GROMOS96 or AMBER03 force field [84].”
Computational protein structure refinement: Almost there, yet still so far to go (2017, background): “107,112,113 117 While the sampling of disordered peptides is less relevant in the context of structure re ﬁ nement, which generally targets well-folded proteins, a better balance between folded and disordered states may bene ﬁ t the sampling of more dynamic regions such as longer loops that are…”
Scalable molecular dynamics on CPU and GPU architectures with NAMD. (2020, methodology): “CHARMM 9 and similar academic force fields, e.g., AMBER, 10 OPLS–AA, 11 and GROMOS, 12 are supported, including the CHARMM Drude polarizability model.”