Distance-AF improves predicted protein structure models by AlphaFold2 with user-specified distance constraints is a research paper published in Communications Biology (2025). On theSindex it has a DataRank of 0.269. It has been cited 5 times.
Scored on demand from live citation data
Linked data & code
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.
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Base Score Contribution
0.269
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 →U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences
Grant: R01GM133840
NSF | BIO | Division of Biological Infrastructure
Grant: DBI2146026, DBI2003635
NSF | BIO | Division of Molecular and Cellular Biosciences
Grant: MCB1925643
NSF | Directorate for Computer & Information Science & Engineering | Division of Information and Intelligent Systems
Grant: IIS2211598
NSF | Directorate for Mathematical & Physical Sciences | Division of Mathematical Sciences
Grant: DMS2151678
NSF | ENG/OAD | Division of Civil, Mechanical and Manufacturing Innovation
Grant: CMMI1825941
FWCI
2.27
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords