% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Antila:917507,
      author       = {Antila, Hanne S. and Kav, Batuhan and Miettinen, Markus S.
                      and Martinez-Seara, Hector and Jungwirth, Pavel and Ollila,
                      O. H. Samuli},
      title        = {{E}merging {E}ra of {B}iomolecular {M}embrane
                      {S}imulations: {A}utomated {P}hysically-{J}ustified {F}orce
                      {F}ield {D}evelopment and {Q}uality-{E}valuated {D}atabanks},
      journal      = {The journal of physical chemistry / B},
      volume       = {126},
      issn         = {1520-6106},
      address      = {Washington, DC},
      publisher    = {Soc.},
      reportid     = {FZJ-2023-00720},
      pages        = {4169–4183},
      year         = {2022},
      abstract     = {Molecular simulations of biological membranes and proxies
                      thereof are entering a new era characterized by several key
                      aspects. Progress starts with the realization that the
                      outcome of the simulations can only be as good as the
                      underlying force field, and we actually need to know
                      precisely how good or bad the results are. Therefore,
                      standardized procedures for data quality evaluation are
                      being established and will be applied to biomembrane
                      simulations available in the literature. This provides the
                      necessary basis and impetus for new force field development.
                      Here, we propose the systematic buildup of physically
                      well-justified models that effectively account for the
                      electronic polarization effects for all components of the
                      biomembrane systems in aqueous environments. Such a massive
                      task can only be achieved within a reasonable time scale by
                      applying automated parametrization tools.},
      cin          = {IBI-7},
      ddc          = {530},
      cid          = {I:(DE-Juel1)IBI-7-20200312},
      pnm          = {5241 - Molecular Information Processing in Cellular Systems
                      (POF4-524)},
      pid          = {G:(DE-HGF)POF4-5241},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000813476600001},
      doi          = {10.1021/acs.jpcb.2c01954},
      url          = {https://juser.fz-juelich.de/record/917507},
}