Anomalous diffusion of proteins due to molecular crowding.

By Daniel S. Banks, Cecile Fradin. Biophysical Journal, 2005

752 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/1d9a037dff1face0b3eaa1a106f904dd2402214b

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In Atomic and Molecular Physics, and Optics

In Biomedical Engineering

In Molecular Biology

Citations in the corpus

Anomalous transport in the crowded world of biological cells (2013, methodology): “Imposing the additional constraint that the ‘entropy’ of the distribution shall be maximal, Sengupta et al [199] nevertheless introduced a numerical procedure to determine the distribution of diffusion times τD from a given FCS correlation function G(t), which was successfully applied to the interpr”
Protein Crowding in Lipid Bilayers Gives Rise to Non-Gaussian Anomalous Lateral Diffusion of Phospholipids and Proteins (2016, background): “Most notably, crowding shapes the reaction kinetics [11,17–19] by modifying the mobility [20] as well as association rates [21–25].”
Diffusion, Crowding & Protein Stability in a Dynamic Molecular Model of the Bacterial Cytoplasm (2010, background): “This is because the timescales over which the two types of experiments are conducted are quite different: translational diffusion coefficients are obtained from FCS experiments by fitting to an autocorrelation function over a timescale extending from microseconds to seconds [21,22,66] while rotation”
Brownian yet non-Gaussian diffusion: from superstatistics to subordination of diffusing diffusivities (2016, background): “Examples for subdiffusion of passive molecular and submicron tracers abound in the cytoplasm of living biological cells [15–17] and in artificially crowded fluids [18], as well as in quasi-two-dimensional systems such as lipid bilayer membranes [19–22].”
Random diffusivity from stochastic equations: comparison of two models for Brownian yet non-Gaussian diffusion (2018, background): “Thus, subdiffusion with 0 < α < 1 was observed for submicron tracers in the crowded cytoplasm of biological cells [15, 16, 17, 18, 19] as well as in artificially crowded environments [20, 21, 22, 23].”
Stochastic models of intracellular transport (2013, background): “…consequence of molecular crowding is that it hinders diffusion, although there is an ongoing debate regarding to what extent this results in anomalous diffusion rather than a simple reduction in the normal diffusion coefficient (Banks and Fradin, 2005; Dix and Verkman, 2008; Weiss et al., 2004).”