QRB Discovery (Jan 2022)

Resolving the fine structure in the energy landscapes of repeat proteins

  • Murilo N. Sanches,
  • R. Gonzalo Parra,
  • Rafael G. Viegas,
  • Antonio B. Oliveira,
  • Peter G. Wolynes,
  • Diego U. Ferreiro,
  • Vitor B.P. Leite

DOI
https://doi.org/10.1017/qrd.2022.4
Journal volume & issue
Vol. 3

Abstract

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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.

Keywords