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PLoS Comput Biol ; 20(8): e1012282, 2024 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-39110764

RESUMO

A protein superfold is a type of protein fold that is observed in at least three distinct, non-homologous protein families. Structural classification studies have revealed a limited number of prevalent superfolds alongside several infrequent occurring folds, and in α/ß type superfolds, the C-terminal ß-strand tends to favor the edge of the ß-sheet, while the N-terminal ß-strand is often found in the middle. The reasons behind these observations, whether they are due to evolutionary sampling bias or physical interactions, remain unclear. This article offers a physics-based explanation for these observations, specifically for pure parallel ß-sheet topologies. Our investigation is grounded in several established structural rules that are based on physical interactions. We have identified "frustration-free topologies" which are topologies that can satisfy all the rules simultaneously. In contrast, topologies that cannot are termed "frustrated topologies." Our findings reveal that frustration-free topologies represent only a fraction of all theoretically possible patterns, these topologies strongly favor positioning the C-terminal ß-strand at the edge of the ß-sheet and the N-terminal ß-strand in the middle, and there is significant overlap between frustration-free topologies and superfolds. We also used a lattice protein model to thoroughly investigate sequence-structure relationships. Our results show that frustration-free structures are highly designable, while frustrated structures are poorly designable. These findings suggest that superfolds are highly designable due to their lack of frustration, and the preference for positioning C-terminal ß-strands at the edge of the ß-sheet is a direct result of frustration-free topologies. These insights not only enhance our understanding of sequence-structure relationships but also have significant implications for de novo protein design.


Assuntos
Modelos Moleculares , Dobramento de Proteína , Proteínas , Proteínas/química , Conformação Proteica em Folha beta , Biologia Computacional/métodos
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