An explainable unsupervised framework for alignment-free protein classification using sequence embeddings
Wayland Yeung, Zhongliang Zhou, Liju Mathew, Nathan Gravel, Rahil Taujale, Aarya Venkat, William N. Lanzilotta, Sheng Li, Natarajan Kannan
This paper introduces an alignment-free protein classification framework using sequence embeddings to infer evolutionary relationships and functional motifs across diverse protein superfamilies.
bioRxiv · Feb 8, 2022 · PreprintBioinformatics