Yehlin Cho
@ChoYehlin
PhD Student @MIT in the @ http://solab.org https://sites.google.com/view/yehlincho/home
I am super excited to announce that I will be starting my lab at the Department of Pharmacology of the University of Zurich in Switzerland next year!
Protein templates are finally supported in Boltz-2! Next up: updating BoltzDesign1 to use Boltz2 for template-based motif scaffolding and more
Excited to unveil Boltz-2, our new model capable not only of predicting structures but also binding affinities! Boltz-2 is the first AI model to approach the performance of FEP simulations while being more than 1000x faster! All open-sourced under MIT license! A thread… 🤗🚀
It’s official!🎉I’m thrilled to announce that I will be joining @MIT as an assistant professor in a shared appointment between @MITBiology, @MITEECS and @MIT_SCC this fall. My lab will couple ML and high throughput experimentation to harness the remarkable functional diversity…
What could Alphafold 4 look like? (Sergey Ovchinnikov, Ep #3) 2 hours listening time (links below) To those in the (machine-learning for protein design) space, Dr. Sergey Ovchinnikov (@sokrypton) is a very, very well-recognized name. A recent MIT professor (circa early…
I'll be attending @iclr_conf and the @gembioworkshop! 🧠✨If you're around and want to meet up or chat, feel free to DM me! 😊
RFdiffusion => generative binder design. RFdiffusion2 => generative enzyme design. It's rare to find scientists with deep knowledge in chemistry, machine learning, and software engineering like Woody. The complexity of enzymes matches the complexity of his skills. Check out RFD2
New enzymes can unlock chemistry we never had access to before. Here, we introduce RFdiffusion2 (RFD2), a generative model that makes significant strides in de novo enzyme design. Preprint: biorxiv.org/content/10.110… Code: coming soon Animation credit: x.com/ichaydon (1/n)