J. Caceres-Delpiano

ExpressUrself predicts protein expression levels from mRNA sequences by modeling spatial characteristics around the start codon, achieving high accuracy on unseen transcripts.

This paper uses deep learning to design de novo antimicrobial peptides with antifungal activity comparable to wild-type peptides.

This paper introduces an automated method to optimise coarse-grained force fields using free energy data from atomistic simulations, improving their accuracy for protein systems.