Peptide–protein interface atlas
Large-scale structural characterization of peptide–protein complexes, with graph-based signatures to support peptide design.
Research & Projects
We work at the interface of computation and the life sciences, creating methods, algorithms, and software to understand how biomolecules interact and function.
Every research line walks hand in hand with engineering: many of our projects produce open tools and databases used by the scientific community worldwide.
Ongoing
Active research lines and the software born from them. The lab follows a research → tool → publication cycle.
Large-scale structural characterization of peptide–protein complexes, with graph-based signatures to support peptide design.
Organizing and analyzing RNA–protein interaction structures in a public database, opening the way to new discoveries.
Detecting, comparing, and optimizing contacts in protein structures and complexes, accelerating structural analysis.
Modeling the impact of mutations on proteins and enzymes, with emphasis on beta-glucosidases and biotechnologically relevant variants.
Machine-learning models to prioritize candidates, predict interactions, and accelerate the discovery cycle. [Summary to be reviewed by the lab]
Platforms to manipulate, normalize, and visualize structures and mutations, making complex data accessible and reproducible.