Antibody structure prediction using interpretable deep learning is a research paper published in Patterns (2021). On theSindex it has a DataRank of 0.806. It has been cited 214 times.
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Base Score Contribution
0.806
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 →National Institutes of Health
Grant: R01-GM078221
National Institutes of Health
Grant: T32-GM008403
NIGMS NIH HHS
Grant: T32 GM008403
NIGMS NIH HHS
Grant: R01 GM078221
National Institutes of Health
Grant: 2R01GM078221-06
Prediction of the Structure of Therapeutic Antibodies with their Antigens
National Institutes of Health
Grant: 5T32GM008403-22
PROGRAM IN MOLECULAR BIOPHYSICS
Maryland Advanced Research Computing Center
AstraZeneca plc
FWCI
20.00
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Additional file 1 of NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model
Additional file 1 of NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model