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Resolving the fine structure in the energy landscapes of repeat proteins.


ABSTRACT: Ankyrin (ANK) repeat proteins are coded by tandem occurrences of patterns with around 33 amino acids. They often mediate protein-protein interactions in a diversity of biological systems. These proteins have an elongated non-globular shape and often display complex folding mechanisms. This work investigates the energy landscape of representative proteins of this class made up of 3, 4 and 6 ANK repeats using the energy-landscape visualisation method (ELViM). By combining biased and unbiased coarse-grained molecular dynamics AWSEM simulations that sample conformations along the folding trajectories with the ELViM structure-based phase space, one finds a three-dimensional representation of the globally funnelled energy surface. In this representation, it is possible to delineate distinct folding pathways. We show that ELViMs can project, in a natural way, the intricacies of the highly dimensional energy landscapes encoded by the highly symmetric ankyrin repeat proteins into useful low-dimensional representations. These projections can discriminate between multiplicities of specific parallel folding mechanisms that otherwise can be hidden in oversimplified depictions.

SUBMITTER: Sanches MN 

PROVIDER: S-EPMC10392621 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Resolving the fine structure in the energy landscapes of repeat proteins.

Sanches Murilo N MN   Parra R Gonzalo RG   Viegas Rafael G RG   Oliveira Antonio B AB   Wolynes Peter G PG   Ferreiro Diego U DU   Leite Vitor B P VBP  

QRB discovery 20220610


Ankyrin (ANK) repeat proteins are coded by tandem occurrences of patterns with around 33 amino acids. They often mediate protein-protein interactions in a diversity of biological systems. These proteins have an elongated non-globular shape and often display complex folding mechanisms. This work investigates the energy landscape of representative proteins of this class made up of 3, 4 and 6 ANK repeats using the energy-landscape visualisation method (ELViM). By combining biased and unbiased coars  ...[more]

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