Our work has been selected as a Spotlight Talk in the GenBio Workshop at ICML @icmlconf.bsky.social
We use energy-based generative models (RBM) to design full mutational paths connecting two natural proteins of different binding specificities, and verify experimentally that intermediate sequences stay functional.
New preprint: Design and experimental characterization of specificity-switching mutational paths of WW domains.
How can we steer protein language models toward specific traits, without losing sequence diversity?
In our new preprint, we introduce Iterative Lookback Monte Carlo (ILMC)—a training-free sampling strategy that balances generation quality, steering constraints, and diversity.
icml.cc/virtual/2026...
Link: www.biorxiv.org/content/10.6...
It delivers highly diverse protein designs, including variants with up to a 12°C increase in predicted melting temperature.
Full paper here: www.biorxiv.org/content/10.6...
Just published in PNAS: www.pnas.org/doi/10.1073/...