A. V. Kulikova

Semantic search using protein large language models detects class II microcins in bacterial genomes

The paper uses protein large language models to detect class II microcins in bacterial genomes, finding embeddings outperform sequence-based methods like BLAST in identifying known and novel microcins.

Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry

The paper compares sequence- and structure-based ML models for predicting protein residue properties, finding they excel at different tasks and that combining them improves accuracy.