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Langevin computer simulations of FtsZ filaments: lateral interactions can generate force to drive bacterial cell division

Authors: Hölger, Ines; Velasco, Enrique; Rivas, Germán; Vélez, Marisela; Tarazona, Pedro;

Langevin computer simulations of FtsZ filaments: lateral interactions can generate force to drive bacterial cell division

Abstract

FtsZ is a bacterial protein that forms filaments that play an essential role in midcell constriction during the process of cell division. The shape of individual filaments of different lengths imaged with atomic force microscopy was modeled considering the protein monomers as beads in a chain and a few parameters to represent their effective interactions. The flexural rigidity and persistence length of the filaments were estimated. This latter value was comparable to the filament length, implying that these biological polymers are halfway between the perfectly stiff linear aggregate whose shapes are fully controlled by the angle between the monomers and highly flexible polymers whose shapes follow a random walk model. The lateral interactions between adjacent filaments, also estimated in the modeling, were found to play an essential role in determining the final shape and kinetics of the coiled structures found in longer polymers. The estimated parameters were used to model the behavior of the polymers also on a cylindrical surface. This analysis points to the formation of helical structures that suggest a mechanism for force generation and amplification through the development of FtsZ spirals at the midcell division point

This work has been supported by the Dirección General de Investigación of Spain, under Grant Nos. FIS2004-05035- C03-02 and BFU2005-04087-C02, and the Comunidad Autónoma de Madrid under Grant No. S-0505/ESP-0299

9 páginas, 10 figuras, 1 tabla -- PAGS nros. 11902-11907

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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