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On the Validation of Protein Force Fields Based on Structural Criteria.
Stroet, Martin; Setz, Martina; Lee, Thomas; Malde, Alpeshkumar K; van den Bergen, Glen; Sykacek, Peter; Oostenbrink, Chris; Mark, Alan E.
Afiliación
  • Stroet M; The University of Queensland, St. Lucia, Queensland 4072, Australia.
  • Setz M; Institute for Molecular Modeling and Simulation, Department of Material Science and Process Engineering, University of Natural Resources and Life Sciences, Vienna Muthgasse 18, 1190 Vienna, Austria.
  • Lee T; The University of Queensland, St. Lucia, Queensland 4072, Australia.
  • Malde AK; Institute for Glycomics and School of Environment and Science, Griffith University, Gold Coast, Queensland 4222, Australia.
  • van den Bergen G; The University of Queensland, St. Lucia, Queensland 4072, Australia.
  • Sykacek P; Institute of Computational Biology, Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Muthgasse 18, 1190 Vienna, Austria.
  • Oostenbrink C; Institute for Molecular Modeling and Simulation, Department of Material Science and Process Engineering, University of Natural Resources and Life Sciences, Vienna Muthgasse 18, 1190 Vienna, Austria.
  • Mark AE; Christian Doppler Laboratory for Molecular Informatics in the Biosciences, University of Natural Resources and Life Sciences, Vienna, Muthgasse 18, 1190 Vienna, Austria.
J Phys Chem B ; 128(19): 4602-4620, 2024 May 16.
Article en En | MEDLINE | ID: mdl-38711373
ABSTRACT
Molecular dynamics simulations depend critically on the quality of the force field used to describe the interatomic interactions and the extent to which it has been validated for use in a specific application. Using a curated test set of 52 high-resolution structures, 39 derived from X-ray diffraction and 13 solved using NMR, we consider the extent to which different parameter sets of the GROMOS protein force field can be distinguished based on comparing a range of structural criteria, including the number of backbone hydrogen bonds, the number of native hydrogen bonds, polar and nonpolar solvent-accessible surface area, radius of gyration, the prevalence of secondary structure elements, J-coupling constants, nuclear Overhauser effect (NOE) intensities, positional root-mean-square deviations (RMSD), and the distribution of backbone ϕ and ψ dihedral angles. It is shown that while statistically significant differences between the average values of individual metrics could be detected, these were in general small. Furthermore, improvements in agreement in one metric were often offset by loss of agreement in another. The work establishes a framework and test set against which protein force fields can be validated. It also highlights the danger of inferring the relative quality of a given force field based on a small range of structural properties or small number of proteins.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas / Enlace de Hidrógeno Idioma: En Revista: J Phys Chem B Asunto de la revista: QUIMICA Año: 2024 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas / Enlace de Hidrógeno Idioma: En Revista: J Phys Chem B Asunto de la revista: QUIMICA Año: 2024 Tipo del documento: Article País de afiliación: Australia