Using B cell receptor lineage structures to predict affinity is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0. It has been cited 3 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?
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: 1R01AI120961-01A1
DEFINING THE INFANT IMMUNE RESPONSE TO HIV
National Institutes of Health
Grant: 5P30AI027757-18
University of Washington Center for AIDS Research
National Institutes of Health
Grant: 5R01AI146028-02
Blending deep learning with probabilistic mechanistic models to predict and understand the evolution and function of adaptive immune receptors
National Institutes of Health
Grant: 5R01AI138709-04
Characterizing the broad antibody response to HIV superinfection
National Institutes of Health
Grant: 3P30AI027757-36S1
University of Washington/Fred Hutch Center for AIDS Research
National Institutes of Health
Grant: 5U19AI128914-05
Immune Responses to Malaria and HIV Infection and Immunization
National Institutes of Health
Grant: 1R01GM113246-01
Leveraing deep sequencing data to understand antibody maturation
Fields of Study
Keywords
Sustainable Development Goals