Drug Discovery in Low Data Regimes: Leveraging a Computational Pipeline for the Discovery of Novel SARS-CoV-2 Nsp14-MTase Inhibitors is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.165. It has been cited 2 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.165
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 →National Institutes of Health
Grant: 5R01GM123296-07
Markov State Model approaches for folding, binding and design
National Institutes of Health
Grant: 1S10OD020095-01
Computer Cluster for Computational Biology and Biophysics
Swiss National Science Foundation
Grant: 191127
Towards Autonomous Molecular Discovery of a ‘Genetic Code’ for Organic Electronics
NCI NIH HHS
Grant: P30 CA008748
NIGMS NIH HHS
Grant: R01 GM123296
NIH HHS
Grant: S10 OD020095
Fields of Study
Keywords
Sustainable Development Goals