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Visualizing protein motion in Couette flow by all-atom molecular dynamics.

Erik Walinda | Daichi Morimoto | Masahiro Shirakawa | Ulrich Scheler | Kenji Sugase
Biochimica et biophysica acta. General subjects | 2020

In living cells, biomacromolecules are exposed to a highly crowded environment. The cytoplasm, the nucleus, and other organelles are highly viscous fluids that differ from dilute in vitro conditions. Viscosity, a measure of fluid internal friction, directly affects the forces that act on immersed macromolecules. Although active motion of this viscous fluid - cytoplasmic streaming - occurs in many plant and animal cells, the effect of fluid motion (flow) on biomolecules is rarely discussed. Recently NMR experiments that apply a shearing flow in situ have been used for protein studies. While these NMR experiments have succeeded in spectroscopically tracking protein aggregation in real time, they do not provide a visual picture of protein motion under shear. To fill this gap, here we have used molecular dynamics simulations to study the motion of three proteins of different size and shape in a simple shearing flow. The proteins exhibit a superposition of random diffusion and shear-flow-induced rotational motion. Random rotational diffusion dominates at lower shear stresses, whereas an active "rolling motion" along the axis of the applied flow occurs at higher shear stress. Even larger shear stresses perturb protein secondary structure elements resulting in local and global unfolding. Apart from shear-induced unfolding, our results imply that, in an ideal Couette flow field biomolecules undergo correlated motion, which should enhance the probability of inter-molecular interaction and aggregation. Connecting biomolecular simulation with experiments applying shear flow in situ appears to be a promising strategy to study protein alignment, deformation, and dynamics under shear.

Pubmed ID: 31201838

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MatPlotLib (tool)

RRID:SCR_008624

Python 2D plotting library which produces publication quality figures in variety of hardcopy formats and interactive environments across platforms. Used in python scripts, web application servers, and six graphical user interface toolkits. Used to generate plots, histograms, power spectra, bar charts, error charts, scatter plots.

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GROMACS (tool)

RRID:SCR_014565

A software package created to perform molecular dynamics. It is primarily designed for biochemical molecules like proteins, lipids and nucleic acids that have many complicated bonded interactions, but it can also be used for research on non-biological systems, such as polymers.

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