Deep mutational scanning and machine learning for the analysis of antimicrobial-peptide features driving membrane selectivity is a research paper published in Nature Biomedical Engineering (2024). On theSindex it has a DataRank of 0. It has been cited 37 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
Foundation for the National Institutes of Health
Grant: AI125337
Foundation for the National Institutes of Health
Grant: AI148419
Foundation for the National Institutes of Health
Grant: AI159203
NIAID NIH HHS
Grant: R21 AI159203
NIAID NIH HHS
Grant: R01 AI125337
NIAID NIH HHS
Grant: R01 AI148419
CLC NIH HHS
Grant: C0000008
National Institutes of Health
Grant: 5R01AI148419-03
Investigating nanobodies to target multidrug resistant bacterial pathogens
National Institutes of Health
Grant: 5R21AI159203-02
Investigation of capsule interactions that promote antimicrobial peptide activity
National Institutes of Health
Grant: 1R01AI125337-01
A High-Throughput Molecular Platform for Antimicrobial Discovery and Study
Tito's Handmade Vodka
FWCI
9.65
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords