Nathan Gravel

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 4

Top Topics

Protein Structure Prediction

Embedding Space

Computational Biology

Top Venues

Briefings Bioinform.

Publications

Wayland Yeung, Zhongliang Zhou, Liju Mathew, Nathan Gravel, Rahil Taujale, Brady O'boyle, Mariah Salcedo, Aarya Venkat, William Lanzilotta, Sheng Li, Natarajan Kannan
Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies. Briefings Bioinform. 24 (1) (2023)
Zhongliang Zhou, Wayland Yeung, Nathan Gravel, Mariah Salcedo, Saber Soleymani, Sheng Li, Natarajan Kannan
Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions. Bioinform. 39 (2) (2023)
Zhongliang Zhou, Mengxuan Hu, Mariah Salcedo, Nathan Gravel, Wayland Yeung, Aarya Venkat, Dongliang Guo, Jielu Zhang, Natarajan Kannan, Sheng Li
XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications. CoRR (2023)
Liang-Chin Huang, Rahil Taujale, Nathan Gravel, Aarya Venkat, Wayland Yeung, Dominic P. Byrne, Patrick A. Eyers, Natarajan Kannan
KinOrtho: a method for mapping human kinase orthologs across the tree of life and illuminating understudied kinases. BMC Bioinform. 22 (1) (2021)