Patrick Bryant

Patrick Bryant

@patrickbryant1.bsky.social

Assistant Professor at Stockholm University. Dedicated Scientist.

126 followers29 following23 posts

Can molecular glues be designed rather than discovered by chance? We built EvoBind-multimer to design small (6-10 AAs) cyclic peptide glues directly from protein sequences. We validate de novo VHL-KRAS and VHL-BRD4 glues in cells and patient-derived tumoroids.

Introducing The Structural History of Eukarya (SHE): The first proteome-scale phylogeny constructed entirely from 3D structure. We computed 300 trillion alignments across 1,542 species to map the tree of life. πŸ§΅πŸ‘‡ (1/5)

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πŸ•ŠοΈ Structural Acceleration Does a bigger genome mean faster structural evolution? No. We found lineage-specific bursts of structural innovation in Birds (Aves) and Ants (Hymenoptera) that are distinct from genomic expansion. (4/5)

Introducing The Structural History of Eukarya (SHE): The first proteome-scale phylogeny constructed entirely from 3D structure. We computed 300 trillion alignments across 1,542 species to map the tree of life. πŸ§΅πŸ‘‡ (1/5)

🐁 Stop guessing your model organism. Our new search engine allows you to rank model organisms by their structural fidelity to specific human pathways. Case Study: For Fanconi Anaemia, Mouse is perfect. Yeast fails. C. elegans is a hidden gem. (2/5)

βš™οΈ A Bipartite Evolutionary Mode The eukaryotic proteome isn't a uniform soup. We resolve it into two distinct modes: A rigid "Architectural Core" (Cytoskeleton/Chaperones) A highly plastic "Operational Engine" (Metabolism/Translation) (3/5)

Update: RareFold 🧬 Our AI framework for protein design with 29 noncanonical AAs now shows designed binders (linear + cyclic) are non-immunogenic in patient-derived assays β€” paving the way for safe next-gen peptide therapeutics. πŸ‘‰https://www.biorxiv.org/content/10.1101/2025.05.19.654846v2

biorxiv.orgRareFold: Structure prediction and design of proteins with noncanonical amino acidsProtein structure prediction and design have traditionally been limited to the 20 canonicalamino acids. Expanding this space to include noncanonical amino acids (NCAAs) offers newopportunities for pro...

You can also design in Colab now: colab.research.google.com/github/patri...

colab.research.google.comGoogle Colab
Patrick Bryant@patrickbryant1.bsky.social

Happy to release our breakthrough AI-model: RareFold, which predicts and designs proteins with noncanonical AAs. With EvoBindRare, we designed linear & cyclic peptide binders with high affinity & novel binding modes, wet lab validated. πŸ“„ biorxiv.org/content/10.1... πŸ’» github.com/patrickbryan...

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RareFold supports 49 different AAs. The 20 regular, and 29 rare ones: MSE, TPO, MLY, CME, PTR, SEP,SAH, CSO, PCA, KCX, CAS, CSD, MLZ, OCS, ALY, CSS, CSX, HIC, HYP, YCM, YOF, M3L, PFF, CGU,FTR, LLP, CAF, CMH, MHO. You can simply specify which you want to use and design!

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