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Emergent systems energy laws for predicting myosin ensemble processivity.

Paul Egan1, Jeffrey Moore2, Christian Schunn3

  • 1Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.

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Emergent laws in complex myosin-actin systems were discovered. Only system energy relationships predict processive lifetime across configurations, revealing a unified expression for biological engineering.

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Area of Science:

  • Mechanochemistry
  • Complex Systems Biology
  • Biophysics

Background:

  • Stochastic systems often exhibit emergent laws independent of lower-level details.
  • Myosin-actin motility is a complex mechanochemical system where processivity is key.
  • Longer processive lifetimes are linked to larger myosin ensembles.

Purpose of the Study:

  • Investigate emergent laws in processive myosin-actin motility systems.
  • Explore potential scaling laws related to myosin-actin contact probability and energy consumption.
  • Develop computational methods to measure processive lifetimes.

Main Methods:

  • Agent-based computational modeling was employed.
  • Simulated processive myosin ensembles.
  • Generated novel measurements of processive lifetime.

Main Results:

  • System energy relationships were found to hold universally, irrespective of isoform or ensemble size.
  • A unified expression for predicting processive lifetime was revealed.
  • Contact probability and system energy were investigated as potential scaling laws.

Conclusions:

  • Emergent laws in mechanochemical systems are driven by system energy relationships.
  • A unified predictive expression for processive lifetime offers insights into stochastic biological systems.
  • Findings inform the understanding and engineering of complex biological systems.