🌟Look fwd to welcoming @dani-deshpet.bsky.social as lecturer in our #BiomolecularInteractions #Modelling Course. 🖥️ Join us to learn about uncovering peptide self‑assembly using adaptive, generative machine learning models!🔗bit.ly/3ZUSXNX 🗓️14Oct'25 @molbiom.bsky.social @i3suporto.bsky.social #Porto

Very pleased to have @dani-deshpet.bsky.social as a lecturer in @mobilise.bsky.social training course! She is Chair of @snoopy-costaction.bsky.social and will share insights on #machine #learning for #peptide design. Don´t miss the chance to learn about #molecular & #professional #interactions! 😊

Check out our new review on Using Machine Learning to Fast-Track Peptide Nanomaterial Discovery | ACS Nano pubs.acs.org/doi/full/10....

Materials Advances is pleased to announce an open call for papers for our upcoming collection on Supramolecular Peptide & Protein Systems, guest edited by @dani-deshpet.bsky.social, Ana Garcia, Veronica Dodero, Ivan Sasselli and Jacek Wychowaniec. Learn more here: blogs.rsc.org/jm/2025/05/0...

Check out our latest paper on the application of ML and generative models on peptide self-assembly prediction www.nature.com/articles/s42...