2024
Evolution-Inspired Loss Functions for Protein Representation Learning
ICML 2024poster
AI-based frameworks for protein engineering use self-supervised learning (SSL) to obtain representations for downstream mutation effect predictions. The most common training objective for these methods is wildtype accuracy: given a sequence or structure where a wildtype residue has been masked, pred…