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  • 标题:Better force fields start with better data: A data set of cation dipeptide interactions
  • 本地全文:下载
  • 作者:Xiaojuan Hu ; Maja-Olivia Lenz-Himmer ; Carsten Baldauf
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-14
  • DOI:10.1038/s41597-022-01297-3
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:We present a data set from a frst-principles study of amino-methylated and acetylated (capped) dipeptides of the 20 proteinogenic amino acids – including alternative possible side chain protonation states and their interactions with selected divalent cations (Ca2+, Mg2+ and Ba2+) . The data covers 21,909 stationary points on the respective potential-energy surfaces in a wide relative energy range of up to 4 eV (390 kJ/mol) . Relevant properties of interest, like partial charges, were derived for the conformers . The motivation was to provide a solid data basis for force feld parameterization and further applications like machine learning or benchmarking . In particular the process of creating all this data on the same frst-principles footing, i .e . density-functional theory calculations employing the generalized gradient approximation with a van der Waals correction, makes this data suitable for frst principles data-driven force feld development . To make the data accessible across domain borders and to machines, we formalized the metadata in an ontology.
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