Exploring the ability of the MD+FoldX method to predict SARS-CoV-2 antibody escape mutations using large-scale data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.104. It has been cited 1 time.
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?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.104
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: 2P20GM104420-06A1
Center for Modeling Complex Interactions
National Institutes of Health
Grant: 4P30GM103324-04
COBRE Phase III: Transitional Center for Research on Processes in Evolution
National Science Foundation
Grant: 1845513
CAREER: Integrating research and training to illuminate mechanisms of teleost fin ray morphogenesis and diversity
NIGMS NIH HHS
Grant: P20 GM104420
NIGMS NIH HHS
Grant: P30 GM103324
Fields of Study
Keywords
Sustainable Development Goals