Patrick Bryant
@patrickbryant1.bsky.social
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Assistant Professor at Stockholm University. Dedicated Scientist.
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...
about 1 month ago
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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 — paving the way for safe next-gen peptide therapeutics. 👉https://www.biorxiv.org/content/10.1101/2025.05.19.654846v2
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RareFold: Structure prediction and design of proteins with noncanonical amino acids
Protein 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...
https://www.biorxiv.org/content/10.1101/2025.05.19.654846v2
2 months ago
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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...
4 months ago
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Cool! Congrats
@proteinator.bsky.social
🎉
add a skeleton here at some point
4 months ago
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Now published: our study on human-pathogen protein-protein interactions! We identify 30 interactions with an expected TM-score ≥0.9, tripling the structural coverage in these networks. One novel interaction was validated with mass spectrometry.
journals.plos.org/ploscompbiol...
4 months ago
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Our latest work is out: we designed dual GLP1R/GCGR agonists—cyclic peptides that activate both metabolic receptors, entirely from sequence alone. This has never been done before.
www.biorxiv.org/content/10.1...
5 months ago
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You can also design in Colab now:
colab.research.google.com/github/patri...
add a skeleton here at some point
6 months ago
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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. đź“„
biorxiv.org/content/10.1...
đź’»
github.com/patrickbryan...
6 months ago
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you reached the end!!
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