Lola Le Breton

The paper introduces BioPert, a framework that uses gene expression responses to predict chemical perturbations across cell lines, achieving higher accuracy than chemical structure-based methods.

This paper shows that protein language models can better annotate metagenomic proteins when trained on curated data, enabling retrieval of diverse enzyme candidates from billions of sequences.