Using graph neural networks for site-of-metabolism prediction and its applications to ranking promiscuous enzymatic products is a research paper published in Bioinformatics (2023). On theSindex it has a DataRank of 0. It has been cited 28 times.
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NSF
Grant: CCF-1909536
NIGMS NIH HHS
Grant: R01 GM132391
National Science Foundation
Grant: 1909536
FET: Small: Tools and Experimental Validation for Predicting Enzymatic Promiscuity and its Products
National Institutes of Health
Grant: 5R01GM132391-03
Computational Techniques for Advancing Untargeted Metabolomics Analysis
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