Ben Orr
@benorr.bsky.social
PhD Candidate, UCSF Biophysics, Kortemme Lab
Computational Biology & AI Lead, Animate Bio
ML for Protein Design
Computational Biology & AI Lead, Animate Bio
ML for Protein Design
Reposted by Ben Orr
Deep learning methods for protein structure prediction and design produce idealized structures. Finetuning on a set of physics-based de novo proteins improves their geometric diversity and generalization capabilities.
@benorr.bsky.social @kortemmelab.bsky.social
www.biorxiv.org/content/10.1...
@benorr.bsky.social @kortemmelab.bsky.social
www.biorxiv.org/content/10.1...
June 16, 2025 at 6:39 PM
Deep learning methods for protein structure prediction and design produce idealized structures. Finetuning on a set of physics-based de novo proteins improves their geometric diversity and generalization capabilities.
@benorr.bsky.social @kortemmelab.bsky.social
www.biorxiv.org/content/10.1...
@benorr.bsky.social @kortemmelab.bsky.social
www.biorxiv.org/content/10.1...
We are excited to share our new preprint, “An improved model for prediction of de novo designed proteins with diverse geometries”. (1/9) www.biorxiv.org/content/10.1...
An improved model for prediction of de novo designed proteins with diverse geometries
Nature uses structural variations on protein folds to fine-tune the geometries of proteins for diverse functions, yet deep learning-based de novo protein design methods generate highly regular, ideali...
www.biorxiv.org
June 10, 2025 at 6:28 PM
We are excited to share our new preprint, “An improved model for prediction of de novo designed proteins with diverse geometries”. (1/9) www.biorxiv.org/content/10.1...