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Evolution and folding of repeat proteinsRepeat proteins are made with tandem copies of similar amino acid stretches that fold into elongated architectures. These proteins constitute excellent model systems to investigate how evolution relates to structure, folding, and function. Here, we propose a scheme to map evolutionary information at the sequence level to a coarse-grained model for repeat-protein folding and use it to investigate the folding of thousands of repeat proteins. We model the energetics by a combination of an inverse Potts-model scheme with an explicit mechanistic model of duplications and deletions of repeats to calculate the evolutionary parameters of the system at the single-residue level. These parameters are used to inform an Ising-like model that allows for the generation of folding curves, apparent domain emergence, and occupation of intermediate states that are highly compatible with experimental data in specific case studies. We analyzed the folding of thousands of natural Ankyrin repeat proteins and found that a multiplicity of folding mechanisms are possible. Fully cooperative all-or-none transitions are obtained for arrays with enough sequence-similar elements and strong interactions between them, while noncooperative element-by-element intermittent folding arose if the elements are dissimilar and the interactions between them are energetically weak. Additionally, we characterized nucleation-propagation and multidomain folding mechanisms. We show that the global stability and cooperativity of the repeating arrays can be predicted from simple sequence scores.
Document ID
20230001298
Acquisition Source
2230 Support
Document Type
Accepted Manuscript (Version with final changes)
Authors
Ezequiel A. Galpern ORCID
(University of Buenos Aires Buenos Aires, Argentina)
Jacopo Marchi
(Sorbonne Paris Cité Paris, France)
Thierry Mora
(Sorbonne Paris Cité Paris, France)
Aleksandra M. Walczak
(Sorbonne Paris Cité Paris, France)
Diego U Ferreiro ORCID
(University of Buenos Aires Buenos Aires, Argentina)
Date Acquired
January 26, 2023
Publication Date
July 29, 2022
Publication Information
Publication: Proceedings of the National Academy of Sciences (PNAS)
Publisher: National Academy of Sciences
Volume: 119
Issue: 31
Issue Publication Date: July 29, 2022
ISSN: 0027-8424
e-ISSN: 1091-6490
Subject Category
Life Sciences (General)
Funding Number(s)
CONTRACT_GRANT: 80NSSC18M0093
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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