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Efficient models of polymerization applied to FtsZ ring assembly in Escherichia coli.


ABSTRACT: High protein concentrations complicate modeling of polymer assembly kinetics by introducing structural complexity and a large variety of protein forms. We present a modeling approach that achieves orders of magnitude speed-up by replacing distributions of lengths and widths with their average counterparts and by introducing a hierarchical classification of species and reactions into sets. We have used this model to study FtsZ ring assembly in Escherichia coli The model's prediction of key features of the ring formation, such as time to reach the steady state, total concentration of FtsZ species in the ring, total concentration of monomers, and average dimensions of filaments and bundles, are all in agreement with the experimentally observed values. Besides validating our model against the in vivo observations, this study fills some knowledge gaps by proposing a specific structure of the ring, describing the influence of the total concentration in short and long kinetics processes, determining some characteristic mechanisms in polymer assembly regulation, and providing insights about the role of ZapA proteins, critical components for both positioning and stability of the ring.

SUBMITTER: Ruiz-Martinez A 

PROVIDER: S-EPMC5948971 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Efficient models of polymerization applied to FtsZ ring assembly in <i>Escherichia coli</i>.

Ruiz-Martínez Álvaro Á   Bartol Thomas M TM   Sejnowski Terrence J TJ   Tartakovsky Daniel M DM  

Proceedings of the National Academy of Sciences of the United States of America 20180423 19


High protein concentrations complicate modeling of polymer assembly kinetics by introducing structural complexity and a large variety of protein forms. We present a modeling approach that achieves orders of magnitude speed-up by replacing distributions of lengths and widths with their average counterparts and by introducing a hierarchical classification of species and reactions into sets. We have used this model to study FtsZ ring assembly in <i>Escherichia coli</i> The model's prediction of key  ...[more]

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