Patrick Bryant
Patrick Bryant
@patrickbryant1.bsky.social
Assistant Professor at Stockholm University. Dedicated Scientist.
126 followers29 following23 posts
Patrick Bryant reposted
Job alertπ¨ Postdoc (Computational Proteomics Γ Plant Immunity) π± Join us to build a cross-species plant pan-terminome & study proteolysis in immunity with excellent collaborators: Bernhard Kuester, Mathias Wilhelm, @degradomics.bsky.social, Patrick Willems, @patrickbryant1.bsky.social Please RT π
Huge congrats to lead authors Qiuzhen Li & Diandra Daumiller! Thanks to @martinsteinegger.bsky.social for all the great tools! π Preprint: biorxiv.org/content/10.6... π₯οΈ Try the Tool: she-app.serve.scilifelab.se
The future of drug design is in AI. RareFoldGPCR: Agonist Design Beyond Natural Amino Acids. Paper: www.biorxiv.org/content/10.1... Code: github.com/patrickbryan...
Update: RareFold 𧬠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. πhttps://www.biorxiv.org/content/10.1101/2025.05.19.654846v2
Our study where we develop EvoBind2: Design of linear and cyclic peptide binders from protein sequence information is now published! www.nature.com/articles/s42...
This is the first study from my lab - providing the first PoC for both linear and cyclic untargeted binder design! EvoBind is available here: github.com/patrickbryan...
Cool! Congrats @proteinator.bsky.social π
1/6 One of the key features of functional proteins is their inherent structural flexibility. In our recent work at #ICML, we introduce flexibility to protein structure design! More in a thread below. Code / Tutorial: github.com/graeter-grou... Poster: W-109, Thu 17 Jul 11 a.m. PDT β 1:30 p.m. PDT
Now published: our study on human-pathogen protein-protein interactions! We identify 30 interactions with an expected TM-score β₯0.9, tripling the structural coverage in these networks. One novel interaction was validated with mass spectrometry. journals.plos.org/ploscompbiol...
Our latest work is out: we designed dual GLP1R/GCGR agonistsβcyclic peptides that activate both metabolic receptors, entirely from sequence alone. This has never been done before. www.biorxiv.org/content/10.1...
You can also design in Colab now: colab.research.google.com/github/patri...
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. π biorxiv.org/content/10.1... π» github.com/patrickbryan...
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. π biorxiv.org/content/10.1... π» github.com/patrickbryan...
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. π biorxiv.org/content/10.1... π» github.com/patrickbryan...
Just like we have used EvoBind to e.g. create functional HIV inhibitors in a single shot (biorxiv.org/content/10.1...) we can now do this with an expanded vocabulary to have more chemical possibilities and avoid e.g. immune recognition and degradation
There is also an audio summary generated by Science Cast here: sciencecast.org/casts/4kj8lr...
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. π biorxiv.org/content/10.1... π» github.com/patrickbryan...
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