Patrick Bryant
@Patrick18287926
Dedicated scientist.
RareFold predicts and designs proteins with noncanonical AAs. With EvoBindRare, we designed linear & cyclic peptide binders with high affinity & novel binding modes, validated in wet lab. A step toward next-gen therapeutics. 📄 biorxiv.org/content/10.110… 💻 github.com/patrickbryant1…
Simon has been developing SOTA theoretical frameworks for years - don't miss out!
We are looking for someone to join the group as a postdoc to help us with scaling implicit transfer operators. If you are interested in this, please reach out to me through email. Include CV, with publications and brief motivational statement. RTs appreciated!
EvoBind2 marks a major step forward in designing linear and cyclic peptide binders solely from a target protein’s sequence, without requiring prior knowledge of binding sites.
Our study where we develop EvoBind2: Design of linear and cyclic peptide binders from protein sequence information is now published! nature.com/articles/s4200…
Our development of machine-learned transferable coarse-grained models in now on Nat Chem! doi.org/10.1038/s41557… I am so proud of my group for this work! Particularly first authors Nick Charron, Klara Bonneau, @sayeg84, Andrea Guljas.
1/6 One of the key features of functional proteins is their inherent structural flexibility. In our recent work at @icmlconf, we introduce flexibility to protein structure design. Our model FliPS generates protein structures with custom per-residue flexibilities as validated by…
CASP is getting cut by NIH... 😢 (Anyone with extra funds wanna help support perhaps the most important competition of the century?) science.org/content/articl…
Excited to see our work published in @ScienceAdvances! We present RBPseg, a method for structural prediction of #phage receptor-binding proteins. We applied it to diverse tail fibers and validated the predicted structures using #cryoEM. Read here: science.org/doi/10.1126/sc…
There is also a Colab notebook for EvoBindRare now! Try it and let us know what you think: colab.research.google.com/github/patrick…
RareFold predicts and designs proteins with noncanonical AAs. With EvoBindRare, we designed linear & cyclic peptide binders with high affinity & novel binding modes, validated in wet lab. A step toward next-gen therapeutics. 📄 biorxiv.org/content/10.110… 💻 github.com/patrickbryant1…