Overview diagram of the method and contributions of this work.

<p>Panel A shows a high-level description of the data and method used to identify high-attention (HA) sites. We use the ESM model to analyze all human proteins, by running the protein language model on all human protein primary sequences and obtaining the attention matrices. We implement our a...

Full description

Saved in:

Bibliographic Details
Main Author:	Gowri Nayar (14234462) (author)
Other Authors:	Alp Tartici (22238821) (author), Russ B. Altman (6158) (author)
Published:	2025
Subjects:	Biochemistry Genetics Molecular Biology Evolutionary Biology Infectious Diseases Plant Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified use transformer architectures thereby highlighting regions powerful computational representation protein primary sequences evolutionary scale modelling define protein families broadly applicable approach identifying high attention biological interaction within attention matrices offer plm &# 8217 high attention sites amino acid sequence identifying ha sites ha sites scale training protein family protein classification novel approach paying attention biological interpretation attention mechanism untapped opportunity structural properties range dependencies pinpoint residues middle layers make available key residues human proteome functional annotation family classification esm ), critical residues
Tags:	Add Tag No Tags, Be the first to tag this record!

Overview diagram of the method and contributions of this work.

Similar Items