Datasets associated with "Improving Small Molecule Force Fields by Identifying and Characterizing Small Molecules with Inconsistent Parameters"

Main Authors: Ehrman, Jordan N., Lim, Victoria T., Bannan, Caitlin C., Thi, Nam, Kyu, Daisy Y., Mobley, David L.
Format: info dataset
Terbitan: , 2020
Subjects:
Online Access: https://zenodo.org/record/3995059
Daftar Isi:
  • This provides associated datasets for a paper/preprint forthcoming soon, by Ehrman et al., "Improving small molecule force fields by identifying and characterizing small molecules with inconsistent parameters". A poster describing an earlier portion of the work is available at https://doi.org/10.5281/zenodo.3385278. The AllMolsAllData.csv.gz file provides a Pandas dataframe for the full set of molecules considered, as described in the paper, whereas the 25andunderarchive.tar.gz provides optimized geometries for 265,847 molecules with four or more difference flags.