DTL-DephosSite: Deep Transfer Learning Based Approach to Predict Dephosphorylation Sites is a research paper published in Frontiers in Cell and Developmental Biology (2021). On theSindex it has a DataRank of 0. It has been cited 18 times.
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NIGMS NIH HHS
Grant: SC1 GM130545
National Science Foundation
Grant: 1901793
Excellence in Research: Deep Learning based approaches for protein post-translational modification site prediction
National Institutes of Health
Grant: 1SC1GM130545-01
Biochemical and Cellular Analysis of Redox Modification on Protein Kinase Substrate Selection
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
FWCI
1.04
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals