Julia Bonzanini
@jBonzaniniSci
bioengineering phd student at university of washington baker lab @UWproteindesign • former adimab llc and dartmouth college • she/her 🇧🇷
Imagine teaching immune cells to precisely target diseased cells and ignore healthy ones. 🎯 Using deep learning, we’ve designed de novo proteins that can distinguish small differences on the surface of cells through MHC molecules. This work is out now in @ScienceMagazine! 🧵
Design of High-Specificity Binders for Peptide–MHC-I Complexes @ScienceMagazine 1. A groundbreaking study presents a novel computational approach to design high-specificity binders for peptide–MHC-I (pMHC-I) complexes, which has significant therapeutic potential for targeting…
Out now in @ScienceMagazine ! science.org/doi/10.1126/sc… thanks to @GreenwoodNathan @BingxuL et al and excited about the downstream applications of this work in cancer and beyond
Can we use deep learning models to specifically target cancer cells? In our new preprint from the Baker lab we report how we can design fully de novo TCR mimics to distinguish antigenic peptides from “self” peptides on MHC class I and activate T cells biorxiv.org/content/10.110…
really excited to be a part of this project! It’s been great to work with Will, @lauratheg26 and the rest of the team on this
Design of solubly expressed miniaturized SMART MHCs biorxiv.org/content/10.110… #biorxiv_biochem
biggest achievement of my phd so far
The only thing cooler than protein folding? Protein folding into a dinosaur. 🦕
Thrilled to see our work on protein nanocage design published in @Nature! These nanocages have exciting potential applications in drug delivery and vaccines. nature.com/articles/s4158… Thank you to Sangmin Lee for the opportunity to contribute to this amazing project!
Watch the Nobel Prize lectures in chemistry. See the 2024 chemistry laureates David Baker, Demis Hassabis, and John Jumper deliver their Nobel Prize lectures. Where are you watching from? #NobelPrize
TCR-pMHC prediction is tough. So, we took a fresh approach: AI-driven protein design. 🤯 With @DarianSWolff & @TPJenkinsDTU, we engineered NY-ESO-1-pMHC binders, integrating them into CARs for cancer cell targeting. 🚀 biorxiv.org/content/10.110…
🚀 Precision Cancer Immunotherapy with AI-Designed pMHC Binders 🧬 In collaboration with @DTUbioengineer, @DTUHealthTech, and @scrippsresearch, we developed a de novo binder design pipeline for #pMHCs biorxiv.org/content/10.110…
Design of high specificity binders for peptide-MHC-I complexes 🚀 New preprint from David Baker!🚀 • Researchers from @UWproteindesign introduced a novel approach using deep learning tools like RFdiffusion to design specific protein binders for peptide-MHC-I (pMHC) complexes,…
Design of high specificity binders for peptide-MHC-I complexes biorxiv.org/cgi/content/sh… #biorxiv_immuno
Honrada em compartilhar um pouco da minha experiência de doutoranda orientada por David Baker para a Pesquisa Fapesp—meu envolvimento com ciência começou em grande parte com a Olimpíada Brasileira de Química, então esse momento é como fechar um ciclo
Prêmio Nobel de Química alia inteligência artificial e estrutura de proteínas. Demis Hassabis e John Jumper criaram avanços preditivos com ajuda computacional, o que permitiu a David Baker desenhar moléculas para usos específicos. bit.ly/3A0DPok #nobelquímica