Deep Learning in Protein Structural Modeling and Design is a research paper published in Patterns (2020). On theSindex it has a DataRank of 0. It has been cited 227 times.
Scored on demand from live citation data
Linked data & code
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.
NIGMS NIH HHS
Grant: R01 GM078221
National Institutes of Health
Grant: R01-GM078221
National Institutes of Health
Grant: 2R01GM078221-06
Prediction of the Structure of Therapeutic Antibodies with their Antigens
Los Alamos National Laboratory
Fields of Study
Keywords
Additional file 1 of Deep generative model for drug design from protein target sequence
Additional file 1 of Deep generative model for drug design from protein target sequence