Residue burial encodes a protein’s fold
contact map, and 1.5 times more efficient than the machine-learned embeddings from FoldSeek's 3Di. Even when the folded structure is unavailable, predicting each residue's burial from sequence yields a more accurate estimate of fold quality than predicting pairwise contacts from the same sequence information. Thus, this work emphasizes that the problem of determining a protein's native fold can be re-framed as predicting each residue's core identity.
Authors
- Alex T. Grigas (ORCID: https://orcid.org/0000-0002-1588-2996)
- J. Beth Sumner
- Corey S. O'Hern
Institutions
- Yale University (US)
- Syracuse University (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-03-31
- DOI
- https://doi.org/10.64898/2026.03.28.714986
- Primary Topic
- Protein Structure and Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Silicon Valley Community Foundation
- Yale University
- Chan Zuckerberg Initiative
- National Institutes of Health