The Emergence of Novel Versus Known Three-Dimensional Structures from Random Sequences

The availability of powerful and accurate programs for predicting protein three-dimensional structures enables one to ask fundamental questions concerning the origin of folded functional proteins during evolution. We show that 120-residue proteins composed of random sequences repeated in tandem are predicted to be much more likely to fold than fully random proteins. These studies validate previous predictions that proteins evolved through the repetition and assortment of short peptide sequences. Also, some of the predicted structures represent novel conformations, which were confirmed experimentally. These findings advance our understanding of molecular evolution and have implications for design of novel proteins.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2025-12-04
DOI
https://doi.org/10.64898/2025.12.04.691947
Citations
1
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.81
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The Emergence of Novel Versus Known Three-Dimensional Structures from Random Sequences

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The Emergence of Novel Versus Known Three-Dimensional Structures from Random Sequences

Hyunjun Yang, William F. DeGrado, Dru Myerscough, Andrey Davydenko, Rian Kormos, Rose Yang, Yibing Wu, Zack Mawaldi
article en
1 citations

Abstract

The availability of powerful and accurate programs for predicting protein three-dimensional structures enables one to ask fundamental questions concerning the origin of folded functional proteins during evolution. We show that 120-residue proteins composed of random sequences repeated in tandem are predicted to be much more likely to fold than fully random proteins. These studies validate previous predictions that proteins evolved through the repetition and assortment of short peptide sequences. Also, some of the predicted structures represent novel conformations, which were confirmed experimentally. These findings advance our understanding of molecular evolution and have implications for design of novel proteins.

bioRxiv (Cold Spring Harbor Laboratory)
University of California, San Francisco (US), Universidad Católica de Santa Fe (AR), Brandeis University (US)
Openalex Percentile: Top 21%
Protein Structure and Dynamics
0.81
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