Multi-Scale Representation Learning for Protein Fitness Prediction

This is like teaching an AI to be a super-fast lab assistant that can look at the letters in a protein’s sequence and estimate how “good” that protein will be at its job (its fitness), without having to run every experiment in the wet lab. The “multi-scale” part means it learns patterns at different zoom levels: from local amino-acid neighborhoods to global protein-wide structure and function signals.