DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteins is a research paper published in Molecular Omics (2020). On theSindex it has a DataRank of 0. It has been cited 38 times.
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National Institutes of Health
Grant: 5SC1GM130545
National Science Foundation
Grant: 1901793
Excellence in Research: Deep Learning based approaches for protein post-translational modification site prediction
National Science Foundation
Grant: 2003019
III: Medium: Collaborative Research: Multi-level computational approaches to protein function prediction
National Science Foundation
Grant: 2021734
Collaborative Research: ABI Development: Integrated platforms for protein structure and function predictions
Japan Society for the Promotion of Science
Grant: JP18H01762
Japan Society for the Promotion of Science
Grant: JP19H04176
NIGMS NIH HHS
Grant: SC1 GM130545
FWCI
1.86
Citation Percentile
0.9%
Influential Citations
2
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals