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  2. Using Multiscale Simulations as a Tool to Interpret Equatorial X-ray Fiber Diffraction Patterns from Skeletal Muscle

Using Multiscale Simulations as a Tool to Interpret Equatorial X-ray Fiber Diffraction Patterns from Skeletal Muscle

  • Int J Mol Sci. 2023 May 9;24(10):8474. doi: 10.3390/ijms24108474.
Momcilo Prodanovic 1 2 Yiwei Wang 3 4 5 Srboljub M Mijailovich 2 Thomas Irving 4
Affiliations

Affiliations

  • 1 Institute for Information Technologies, University of Kragujevac, 34000 Kragujevac, Serbia.
  • 2 FilamenTech, Inc., Newton, MA 02458, USA.
  • 3 Department of Applied Mathematics, Illinois Institute of Technology, Chicago, IL 60616, USA.
  • 4 Department of Biology, Illinois Institute of Technology, Chicago, IL 60616, USA.
  • 5 Department of Mathematics, University of California, Riverside, CA 92521, USA.
Abstract

Synchrotron small-angle X-ray diffraction is the method of choice for nm-scale structural studies of striated muscle under physiological conditions and on millisecond time scales. The lack of generally applicable computational tools for modeling X-ray diffraction patterns from intact muscles has been a significant barrier to exploiting the full potential of this technique. Here, we report a novel "forward problem" approach using the spatially explicit computational simulation platform MUSICO to predict equatorial small-angle X-ray diffraction patterns and the force output simultaneously from resting and isometrically contracting rat skeletal muscle that can be compared to experimental data. The simulation generates families of thick-thin filament repeating units, each with their individually predicted occupancies of different populations of active and inactive Myosin heads that can be used to generate 2D-projected electron density models based on known Protein Data Bank structures. We show how, by adjusting only a few selected parameters, we can achieve a good correspondence between experimental and predicted X-ray intensities. The developments presented here demonstrate the feasibility of combining X-ray diffraction and spatially explicit modeling to form a powerful hypothesis-generating tool that can be used to motivate experiments that can reveal emergent properties of muscle.

Keywords

X-ray diffraction; multiscale modeling; muscle.

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