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

Author:

Prodanovic Momcilo12ORCID,Wang Yiwei345ORCID,Mijailovich Srboljub M.2ORCID,Irving Thomas4ORCID

Affiliation:

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.

Funder

American Heart Association

National Institutes of Health

Serbian Ministry of Science, Technological Development and Innovation

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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