Reviewer #3 (Public review): An interpretable neural network unveils higher-order epistasis in large protein sequence-function relationships
Abstract
In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences.They provide solid evidence that higher-order epistasis can play key roles in protein function.This work will be of interest to the communities interested in modeling biological sequence data and understanding mutational effects.
Fields of Study & Subjects
Evolution and Genetic Dynamics
Protein Structure and Dynamics
Machine Learning in Bioinformatics
Publication details
- Journal / source
- eLife
- Publication date
- 5 March 2026
- Language
- EN