Development and Benchmarking of Open Force Field 2.0.0: The Sage Small Molecule Force Field is a research paper published in Journal of Chemical Theory and Computation (2023). On theSindex it has a DataRank of 0. It has been cited 193 times.
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Division of Chemistry
Grant: CHE-1738975
UK Research and Innovation
Grant: MR/T019654/1
Next generation atomistic modelling for medicinal chemistry and biology
American Chemical Society Petroleum Research Fund
Grant: 58158-DNI6
National Institute of General Medical Sciences
Grant: GM061300
National Institute of General Medical Sciences
Grant: R01GM132386
NIGMS NIH HHS
Grant: R01 GM061300
NCI NIH HHS
Grant: P30 CA008748
National Institutes of Health
Grant: 5R01GM132386-03
Open data-driven infrastructure for building biomolecular force fields for predictive biophysics and drug design
National Science Foundation
Grant: 1738975
D3SC: EAGER: Collaborative Research: A probabilistic framework for automated force field parameterization from experimental datasets
National Institutes of Health
Grant: 2R01GM061300-14
Theory and Modeling of Noncovalent Binding
Open Force Field Consortium
Open Molecular Software Foundation
FWCI
18.39
Citation Percentile
1.0%
Influential Citations
24
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Applying atomistic neural networks to bias conformer ensembles towards bioactive-like conformations
Additional file 1 of Applying atomistic neural networks to bias conformer ensembles towards bioactive-like conformations