Atomic protein structure refinement using all-atom graph representations and SE(3)-equivariant graph transformer is a research paper published in Bioinformatics (2023). On theSindex it has a DataRank of 0. It has been cited 24 times.
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Department of Energy
Grant: DE-AR0001213
Department of Energy
Grant: DE-SC0020400
Department of Energy
Grant: DE-SC0021303
NSF
Grant: DBI2308699
NSF
Grant: DBI1759934
NSF
Grant: IIS1763246
NIH
Grant: R01GM093123
NIH
Grant: R01GM146340
National Science Foundation
Grant: 1763246
III: Medium: Collaborative Research: Guiding Exploration of Protein Structure Spaces with Deep Learning
National Institutes of Health
Grant: 5R01GM146340-03
Deep learning methods for automated and accurate reconstruction of protein structures from cryo-EM image data
National Science Foundation
Grant: 1759934
ABI Innovation: Deep learning methods for protein bioinformatics
National Science Foundation
Grant: 2308699
Deep transformers for integrating protein sequence, structure and interaction data to predict function
National Institutes of Health
Grant: 5R01GM093123-10
Distance-based ab initio protein structure prediction
FWCI
3.23
Citation Percentile
0.9%
Citation Trend
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