Evaluating Polarizable Biomembrane Simulations against Experiments

Hanne S. Antila*, Sneha Dixit, Batuhan Kav*, Jesper J. Madsen, Markus S. Miettinen, Samuli Ollila

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)

Abstract

Owing to the increase of available computational capabilities and the potential for providing a more accurate description, polarizable molecular dynamics force fields are gaining popularity in modeling biomolecular systems. It is, however, crucial to evaluate how much precision is truly gained with increasing cost and complexity of the simulation. Here, we leverage the NMRlipids open collaboration and Databank to assess the performance of available polarizable lipid models─the CHARMM-Drude and the AMOEBA-based parameters─against high-fidelity experimental data and compare them to the top-performing nonpolarizable models. While some improvement in the description of ion binding to membranes is observed in the most recent CHARMM-Drude parameters, and the conformational dynamics of AMOEBA-based parameters are excellent, the best nonpolarizable models tend to outperform their polarizable counterparts for each property we explored. The identified shortcomings range from inaccuracies in describing the conformational space of lipids to excessively slow conformational dynamics. Our results provide valuable insights for the further refinement of polarizable lipid force fields and for selecting the best simulation parameters for specific applications.
Original languageEnglish
Pages (from-to)4325-4337
JournalJournal of Chemical Theory and Computation
Volume20
Issue number10
DOIs
Publication statusPublished - 28 May 2024
MoE publication typeA1 Journal article-refereed

Funding

Open access funded by Max Planck Society. M.S.M. acknowledges support by the Trond Mohn Foundation (BFS2017TMT01). O.H.S.O. acknowledges The Research Council of Finland for funding (grant nos. 315596, 319902, 345631, 356568).

Keywords

  • Molecular Dynamics Simulation
  • Lipid Bilayers/chemistry

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