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Nathan Gravel
Nathan Gravel
Graduate Research Assistant, University of Georgia
Verified email at uga.edu
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Cited by
Year
KinOrtho: a method for mapping human kinase orthologs across the tree of life and illuminating understudied kinases
LC Huang, R Taujale, N Gravel, A Venkat, W Yeung, DP Byrne, PA Eyers, ...
BMC bioinformatics 22, 1-25, 2021
112021
Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions
Z Zhou, W Yeung, N Gravel, M Salcedo, S Soleymani, S Li, N Kannan
Bioinformatics 39 (2), btad046, 2023
82023
Dark kinase annotation, mining, and visualization using the Protein Kinase Ontology
S Soleymani, N Gravel, LC Huang, W Yeung, E Bozorgi, NG Bendzunas, ...
PeerJ 11, e16087, 2023
42023
Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies
W Yeung, Z Zhou, L Mathew, N Gravel, R Taujale, B O’Boyle, M Salcedo, ...
Briefings in Bioinformatics 24 (1), bbac619, 2023
42023
Modularity of the hydrophobic core and evolution of functional diversity in fold A glycosyltransferases
A Venkat, D Tehrani, R Taujale, W Yeung, N Gravel, KW Moremen, ...
Journal of Biological Chemistry 298 (8), 2022
42022
XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications
Z Zhou, M Hu, M Salcedo, N Gravel, W Yeung, A Venkat, D Guo, J Zhang, ...
arXiv preprint arXiv:2312.06082, 2023
22023
Mechanistic and evolutionary insights into isoform-specific ‘supercharging’in DCLK family kinases
A Venkat, G Watterson, DP Byrne, B O'Boyle, S Shrestha, N Gravel, ...
Elife 12, RP87958, 2023
22023
Predicting protein and pathway associations for understudied dark kinases using pattern-constrained knowledge graph embedding
MV Salcedo, N Gravel, A Keshavarzi, LC Huang, KJ Kochut, N Kannan
PeerJ 11, e15815, 2023
12023
Using explainable machine learning to uncover the kinase–substrate interaction landscape
Z Zhou, W Yeung, S Soleymani, N Gravel, M Salcedo, S Li, N Kannan
Bioinformatics 40 (2), btae033, 2024
2024
Informatic challenges and advances in illuminating the druggable proteome
ER Taujal, N Gravel, Z Zhou, W Yeung, K Kochut, N Kannan
Drug Discovery Today, 103894, 2024
2024
An explainable unsupervised framework for alignment-free protein classification using sequence embeddings
W Yeung, Z Zhou, L Mathew, N Gravel, R Taujale, A Venkat, W Lanzilotta, ...
bioRxiv, 2022.02. 08.478871, 2022
2022
Hydrophobic core variations distinguishing mechanistic divergence of fold a glycosyltransferases
A Venkat, R Taujale, W Yeung, N Gravel, K Moremen, N Kannan, ...
GLYCOBIOLOGY 31 (12), 1751-1752, 2021
2021
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