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- W3184710447 abstract "Abstract We present a data set from a first-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 (Ca 2+ , Mg 2+ and Ba 2+ ). 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 field parameterization and further applications like machine learning or benchmarking. In particular the process of creating all this data on the same first-principles footing, i.e. density-functional theory calculations employing the generalized gradient approximation with a van der Waals correction, makes this data suitable for first principles data-driven force field development. To make the data accessible across domain borders and to machines, we formalized the metadata in an ontology." @default.
- W3184710447 created "2021-08-02" @default.
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- W3184710447 date "2022-06-17" @default.
- W3184710447 modified "2023-10-18" @default.
- W3184710447 title "Better force fields start with better data: A data set of cation dipeptide interactions" @default.
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- W3184710447 doi "https://doi.org/10.1038/s41597-022-01297-3" @default.
- W3184710447 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35715420" @default.
- W3184710447 hasPublicationYear "2022" @default.
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