Does CA RFdiffusion support RFpeptides?

[A4444z]

Hi there!

I’m impressed by CA RFdiffusion’s strong performance in de novo protein backbone design—its ability to generate atomically precise backbones for complex functional motifs is a game-changer for our structural design work.

We’re exploring cyclic peptide design and have a quick question: Does CA RFdiffusion support integration with RFpeptides? Specifically, can it be adapted to design cyclic peptides (e.g., enforcing cyclic constraints, scaffolding cyclic peptide backbones) via RFpeptides-related workflows?

Any insights would be hugely helpful. Thanks again for this powerful computational design tool!

[davidcjuergens]

Wow that's great to hear! Thanks for your comment.

I'm sorry it took me so long to respond.. At the moment, we have not implemented the ability to do cyclic peptides in CA RFdiffusion repo. However, it would not be hard. So to answer your question--yes it could certainly be adapted to design cyclic peptides. However, I have not tested CA RFdiffusion for its ability to design interfaces between polypeptides.

Really happy to hear you're pleased with the backbones!