Egan, P and Moore, J and Schunn, C and Cagan, J and LeDuc, P
(2015)
Emergent Systems Energy Laws for Predicting Myosin Ensemble Processivity.
PLoS Computational Biology, 11 (4).
ISSN 1553-734X
Abstract
In complex systems with stochastic components, systems laws often emerge that describe higher level behavior regardless of lower level component configurations. In this paper, emergent laws for describing mechanochemical systems are investigated for processive myosin-actin motility systems. On the basis of prior experimental evidence that longer processive lifetimes are enabled by larger myosin ensembles, it is hypothesized that emergent scaling laws could coincide with myosin-actin contact probability or system energy consumption. Because processivity is difficult to predict analytically and measure experimentally, agent-based computational techniques are developed to simulate processive myosin ensembles and produce novel processive lifetime measurements. It is demonstrated that only systems energy relationships hold regardless of isoform configurations or ensemble size, and a unified expression for predicting processive lifetime is revealed. The finding of such laws provides insight for how patterns emerge in stochastic mechanochemical systems, while also informing understanding and engineering of complex biological systems.
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Item Type: |
Article
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Status: |
Published |
Creators/Authors: |
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Contributors: |
Contribution | Contributors Name | Email | Pitt Username | ORCID  |
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Editor | Campbell, Stuart | UNSPECIFIED | UNSPECIFIED | UNSPECIFIED |
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Date: |
1 April 2015 |
Date Type: |
Publication |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Journal or Publication Title: |
PLoS Computational Biology |
Volume: |
11 |
Number: |
4 |
DOI or Unique Handle: |
10.1371/journal.pcbi.1004177 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
Dietrich School of Arts and Sciences > Psychology |
Refereed: |
Yes |
ISSN: |
1553-734X |
Date Deposited: |
23 Aug 2016 13:42 |
Last Modified: |
09 Nov 2021 13:55 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/28515 |
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