Your browser doesn't support javascript.
loading
What determines sub-diffusive behavior in crowded protein solutions?
Kompella, Vijay Phanindra Srikanth; Romano, Maria Carmen; Stansfield, Ian; Mancera, Ricardo L.
Afiliação
  • Kompella VPS; Curtin Medical School, Curtin Health Innovation Research Institute, Curtin Institute for Data Science, Curtin University, Perth, Western Australia, Australia; Department of Physics, Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen, United Kingdom.
  • Romano MC; Department of Physics, Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen, United Kingdom; Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom.
  • Stansfield I; Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom.
  • Mancera RL; Curtin Medical School, Curtin Health Innovation Research Institute, Curtin Institute for Data Science, Curtin University, Perth, Western Australia, Australia. Electronic address: r.mancera@curtin.edu.au.
Biophys J ; 123(2): 134-146, 2024 Jan 16.
Article em En | MEDLINE | ID: mdl-38073154
The aqueous environment inside cells is densely packed. A typical cell has a macromolecular concentration in the range 90-450 g/L, with 5%-40% of its volume being occupied by macromolecules, resulting in what is known as macromolecular crowding. The space available for the free diffusion of metabolites and other macromolecules is thus greatly reduced, leading to so-called excluded volume effects. The slow diffusion of macromolecules under crowded conditions has been explained using transient complex formation. However, sub-diffusion noted in earlier works is not well characterized, particularly the role played by transient complex formation and excluded volume effects. We have used Brownian dynamics simulations to characterize the diffusion of chymotrypsin inhibitor 2 in protein solutions of bovine serum albumin and lysozyme at concentrations ranging from 50 to 300 g/L. The predicted changes in diffusion coefficient as a function of crowder concentration are consistent with NMR experiments. The sub-diffusive behavior observed in the sub-microsecond timescale can be explained in terms of a so-called cage effect, arising from rattling motion in a local molecular cage as a consequence of excluded volume effects. By selectively manipulating the nature of interactions between protein molecules, we determined that excluded volume effects induce sub-diffusive dynamics at sub-microsecond timescales. These findings may help to explain the diffusion-mediated effects of protein crowding on cellular processes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Simulação de Dinâmica Molecular Idioma: En Revista: Biophys J Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Simulação de Dinâmica Molecular Idioma: En Revista: Biophys J Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido