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Two new methods from the lab now available as preprint: -PeSTo: an accurate way to predict protein interacting interfaces using transformers doi.org/10.1101/2022.0…… -MaD: a robust method to fit models on cryoEM data doi.org/10.1101/2022.0…… Check them out

Our method for protein sequence prediction is out. "Context-aware geometric deep learning for protein sequence design" - check it out at doi.org/10.1038/s41467… Kudos to Lucien Lucien Krapp and the team Fernando A. T. P. Meireles, Luciano Abriata, Maria and Sarah. actu.epfl.ch/news/a-new-ai-…

Molecular dynamics simulations in mixed reality! With Luciano Abriata and Lucien Krapp we’re scaling our multi-user WebXR platform to enable immersive molecular simulations, fully based on web technologies. Stay tuned, lots of cool stuff coming soon! Three.js #WebXR #Quest3

Speech recognition + LLM + AR + MD = Molecular graphics and modeling in the Holodeck (paraphrasing ChimeraX (bsky: chimerax.ucsf.edu) 's Tom Goddard in pubmed.ncbi.nlm.nih.gov/29964044/) Trying to make science fiction reality with Fabio Cortes and Lucien Krapp using #WebXR Watch with audio...!