Fitting quantum machine learning potentials to experimental free energy data: predicting tautomer ratios in solution is a research paper published in Chemical Science (2021). On theSindex it has a DataRank of 0.561. It has been cited 41 times.
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Base Score Contribution
0.561
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Foundation for the National Institutes of Health
Grant: P30 CA008748
Foundation for the National Institutes of Health
Grant: R01 GM121505
Foundation for the National Institutes of Health
Grant: R01 GM132386
National Science Foundation
Grant: CHE-1738979
Fonds zur Förderung der wissenschaftlichen Forschung
Grant: J 4245-N28
National Institutes of Health
Grant: 5R01GM132386-03
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Grant: 2P30CA008748-43
MOUSE GENETICS
Austrian Science Fund (FWF)
Grant: J 4245
Tautomeric form of ligands in the binding pocket of protein
National Institutes of Health
Grant: 5R01GM121505-02
The role of reorganization energy in achieving selective kinase inhibition
National Institutes of Health
Grant: 1ZIABC011378-07
Studies of amplification in rhabdomyosarcoma
National Science Foundation
Grant: 1738979
D3SC: EAGER: Collaborative Research: A probabilistic framework for automated force field parameterization from experimental datasets
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Keywords
Sustainable Development Goals