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Resolving the fine structure in the energy landscapes of repeat proteins.
Sanches, Murilo N; Parra, R Gonzalo; Viegas, Rafael G; Oliveira, Antonio B; Wolynes, Peter G; Ferreiro, Diego U; Leite, Vitor B P.
Afiliação
  • Sanches MN; Department of Physics, Institute of Biosciences, Humanities and Exact Sciences, São Paulo State University (UNESP), São José do Rio Preto, SP 15054-000, Brazil.
  • Parra RG; Barcelona Supercomputing Center (BSC), Barcelona, Spain.
  • Viegas RG; Department of Physics, Institute of Biosciences, Humanities and Exact Sciences, São Paulo State University (UNESP), São José do Rio Preto, SP 15054-000, Brazil.
  • Oliveira AB; Federal Institute of Education, Science and Technology of São Paulo (IFSP), Catanduva, SP 15.808-305, Brazil.
  • Wolynes PG; Center for Theoretical Biological Physics, Rice University, Houston, TX, USA.
  • Ferreiro DU; Center for Theoretical Biological Physics, Rice University, Houston, TX, USA.
  • Leite VBP; Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, C1428EGA Buenos Aires, Argentina.
QRB Discov ; 3: e7, 2022.
Article em En | MEDLINE | ID: mdl-37529289
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article