Ultra-high-diversity factorizable libraries for efficient therapeutic discovery is a research paper published in Genome Research (2022). On theSindex it has a DataRank of 0. 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.
NCI NIH HHS
Grant: R01 CA218094
NIGMS NIH HHS
Grant: T32 GM087237
National Institutes of Health
Grant: 5R01CA218094-06
Deep learning based antibody design using high-throughput affinity testing of synthetic sequences
Novartis
Schmidt Futures
Fields of Study
MeSH Terms
Keywords