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.

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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

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article

Residue burial encodes a protein’s fold

Alex T. Grigas, J. Beth Sumner, Corey S. O'Hern
bioRxiv (Cold Spring Harbor Laboratory)
Protein Structure and Dynamics
article

Residue burial encodes a protein’s fold

Alex T. Grigas, J. Beth Sumner, Corey S. O'Hern
article en

Abstract

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.

bioRxiv (Cold Spring Harbor Laboratory)
Yale University (US), Syracuse University (US)
Silicon Valley Community Foundation, Yale University, Chan Zuckerberg Initiative, National Institutes of Health
Openalex Percentile: Top 30%
Protein Structure and Dynamics
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