AlphaFold2-RAVE: From Sequence to Boltzmann Ranking is a research paper published in Journal of Chemical Theory and Computation (2023). On theSindex it has a DataRank of 0.722. It has been cited 122 times.
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DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.722
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 βNational Institute of General Medical Sciences
Grant: R35GM142719
National Institutes of Health
Grant: 1R35GM142719-01
From atoms to mechanisms - Artificial Intelligence augmented molecular simulations for mechanistic ligand design
FWCI
11.42
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords