Data supporting 'De novo-designed minibinders expand the synthetic biology sensing repertoire' is a dataset published in Zenodo (CERN European Organization for Nuclear Research) (2024). On theSindex it has a DataRank of 0, placing it in the top 100% of the data-sharing corpus.
Ranks in the top 100% for downstream scientific impact
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.
National Institutes of Health
Grant: 5K12GM081266-15
UCSF IRACDA Scholars Program
National Institutes of Health
Grant: 1F31AI164671-01
Suppression of Host Antiviral Responses by a SARS-CoV-2 Histone Mimetic
National Institutes of Health
Grant: 1K99GM147825
Understanding and rewiring cellular behavior with synthetic biology approaches