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On the Variation of Structural Divergence Among Residues in Enzyme Evolution
Open accessPublished version of a preprint
Abstract
Structural divergence varies among protein residues, yet this variation has been largely overlooked compared with the well‐studied case of sequence rate variation. Here we show that, in families of functionally conserved homologous enzymes, structural divergence increases with both residue flexibility and distance from the active site. Although these properties are correlated, modeling reveals that the pattern arises from two independent types of evolutionary constraints: non‐functional and functional. The balance between these constraints varies widely across enzyme families, from non‐functional to functional dominance. As functional constraints strengthen, structural divergence patterns are reshaped, becoming increasingly distinct from flexibility patterns and breaking the commonly assumed correspondence between evolutionary and dynamical structural ensembles. Active sites are more structurally conserved than average, but this conservation stems not only from functional constraints. Because active sites typically lie in rigid regions where non‐functional constraints are high, both constraint types contribute comparably on average, with dominance shifting from one to the other depending on active‐site rigidity. Together, these findings revise two long‐standing assumptions: that evolutionary structural variation universally mirrors protein dynamics and that active‐site conservation reflects functional requirements alone. Both depend on the balance between non‐functional and functional constraints that shape enzyme structural evolution.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Accurate structure prediction of biomolecular interactions with AlphaFold 3
Abramson, J., Adler, J., Dunger, J., Evans, R., Green, T., Pritzel, A., Ronneberger, O., Willmore, L., Ballard, A. J., Bambrick, J., et al. (2024) · Nature · doi:10.1038/s41586-024-07487-w · Cited by 15,861 · cited 1×
“However, machine learning methods have substantially improved both the speed and accuracy of protein structure prediction, making structural data more accessible [18–22].”
Accurate prediction of protein structures and interactions using a 3-track network
Baek, M., DiMaio, F., Anishchenko, I., Dauparas, J., Ovchinnikov, S., Lee, G. R., Wang, J., Cong, Q., Kinch, L. N., Schaeffer, R. D., et al. (2021) · doi:10.1101/2021.06.14.448402 · Cited by 5,549
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Metadata
- Authors
- Echave, J., & Carpentier, M.
- Affiliations
- Instituto de Ciencias Físicas (ICIFI‐CONICET), Universidad Nacional de San Martín Buenos Aires Argentina
- Centre National de la Recherche Scientifique (FR)
- Venue
- Proteins: Structure, Function, and Bioinformatics
- Publisher
- Wiley
- Published
- 2025-12-12
- Volume
- 94
- Issue
- 5
- Pages
- 1030-1046
- ISSN
- 0887-3585 (ISSN-L)
- 1097-0134
- OpenAlex
- W4417290265
- Cited by
- 2
- References
- 3
- Citations by year
- 2026: 2
- FWCI
- 0.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Proteins Structure Function and Bioinformatics (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Funders
- Consejo Nacional de Investigaciones Científicas y Técnicas (PIP‐11220210100462)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- structural divergence, enzyme evolution, protein flexibility, active site conservation, functional constraints, non-functional constraints, protein dynamics
- MeSH terms
- Amino Acid Sequence, Enzymes, Models, Molecular, Protein Conformation, Evolution, Molecular, Catalytic Domain
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