Structure-based prediction of protein-nucleic acid binding using graph neural networks is a research paper published in Biophysical Reviews (2024). On theSindex it has a DataRank of 0.470. It has been cited 22 times.
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Base Score Contribution
0.470
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.
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Grant: R01AI150524
National Institute of General Medical Sciences
Grant: R35GM130376
Human Frontier Science Program
Grant: RGP0021/2018
National Institutes of Health
Grant: 5R01AI150524-12
Structural Basis of APOBEC Functions and HIV Restriction
National Institutes of Health
Grant: 5R35GM130376-03
Quantitative Modeling of Transcription Factor-DNA Binding
University of Southern California
FWCI
3.49
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals