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Intrinsic Dynamics of the ClpXP Proteolytic Machine Using Elastic Network Models.
González-Paz, Lenin; Lossada, Carla; Hurtado-León, Maria Laura; Fernández-Materán, Francelys V; Paz, José Luis; Parvizi, Shayan; Cardenas Castillo, Rafael Eduardo; Romero, Freddy; Alvarado, Ysaias J.
Afiliação
  • González-Paz L; Facultad Experimental de Ciencias (FEC), Departamento de Biología, Laboratorio de Genética y Biología Molecular (LGBM), Universidad del Zulia (LUZ), 4001 Maracaibo, Zulia, República Bolivariana de Venezuela.
  • Lossada C; Centro de Biomedicina Molecular (CBM). Laboratorio de Biocomputación (LB), Instituto Venezolano de Investigaciones Científicas (IVIC), 4001 Maracaibo, Zulia, República Bolivariana de Venezuela.
  • Hurtado-León ML; Centro de Biomedicina Molecular (CBM). Laboratorio de Biocomputación (LB), Instituto Venezolano de Investigaciones Científicas (IVIC), 4001 Maracaibo, Zulia, República Bolivariana de Venezuela.
  • Fernández-Materán FV; Facultad Experimental de Ciencias (FEC), Departamento de Biología, Laboratorio de Genética y Biología Molecular (LGBM), Universidad del Zulia (LUZ), 4001 Maracaibo, Zulia, República Bolivariana de Venezuela.
  • Paz JL; Centro de Biomedicina Molecular (CBM). Laboratorio de Biocomputación (LB), Instituto Venezolano de Investigaciones Científicas (IVIC), 4001 Maracaibo, Zulia, República Bolivariana de Venezuela.
  • Parvizi S; Departamento Académico de Química Inorgánica, Facultad de Química e Ingeniería Química, Universidad Nacional Mayor de San Marcos, 15081 Lima, Perú.
  • Cardenas Castillo RE; Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, Houston, Texas 77030, United States.
  • Romero F; Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, Houston, Texas 77030, United States.
  • Alvarado YJ; Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, Houston, Texas 77030, United States.
ACS Omega ; 8(8): 7302-7318, 2023 Feb 28.
Article em En | MEDLINE | ID: mdl-36873006
ABSTRACT
ClpXP complex is an ATP-dependent mitochondrial matrix protease that binds, unfolds, translocates, and subsequently degrades specific protein substrates. Its mechanisms of operation are still being debated, and several have been proposed, including the sequential translocation of two residues (SC/2R), six residues (SC/6R), and even long-pass probabilistic models. Therefore, it has been suggested to employ biophysical-computational approaches that can determine the kinetics and thermodynamics of the translocation. In this sense, and based on the apparent inconsistency between structural and functional studies, we propose to apply biophysical approaches based on elastic network models (ENM) to study the intrinsic dynamics of the theoretically most probable hydrolysis mechanism. The proposed models ENM suggest that the ClpP region is decisive for the stabilization of the ClpXP complex, contributing to the flexibility of the residues adjacent to the pore, favoring the increase in pore size and, therefore, with the energy of interaction of its residues with a larger portion of the substrate. It is predicted that the complex may undergo a stable configurational change once assembled and that the deformability of the system once assembled is oriented, to increase the rigidity of the domains of each region (ClpP and ClpX) and to gain flexibility of the pore. Our predictions could suggest under the conditions of this study the mechanism of the interaction of the system, of which the substrate passes through the unfolding of the pore in parallel with a folding of the bottleneck. The variations in the distance calculated by molecular dynamics could allow the passage of a substrate with a size equivalent to ∼3 residues. The theoretical behavior of the pore and the stability and energy of binding to the substrate based on ENM models suggest that in this system, there are thermodynamic, structural, and configurational conditions that allow a possible translocation mechanism that is not strictly sequential.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article