ArticlePLoS computational biology2015
Statistical mechanics provides novel insights into microtubule stability and mechanism of shrinkage.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- On the curvature and relaxation of microtubule plus-end tips.Biophysical journal · 2026Article
- Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules.Scientific reports · 2021Article
- Microtubule Simulations Provide Insight into the Molecular Mechanism Underlying Dynamic Instability.Biophysical journal · 2020Article
- Mechanics and kinetics of dynamic instability.eLife · 2020Article
- Spatio-temporal correlations between catastrophe events in a microtubule bundle: a computational study.European biophysics journal : EBJ · 2020Article
- Signatures of a macroscopic switching transition for a dynamic microtubule.Scientific reports · 2017Article
- Detection of Temperature Difference in Neuronal Cells.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microtubules are nano-machines that grow and shrink stochastically, making use of the coupling between chemical kinetics and mechanics of its constituent protofilaments (PFs). We investigate the stability and shrinkage of microtubules taking into account inter-protofilament interactions and bending interactions of intrinsically curved PFs. Computing the free energy as a function of PF tip position, we show that the competition between curvature energy, inter-PF interaction energy and entropy leads to a rich landscape with a series of minima that repeat over a length-scale determined by the intrinsic curvature. Computing Langevin dynamics of the tip through the landscape and accounting for depolymerization, we calculate the average unzippering and shrinkage velocities of GDP protofilaments and compare them with the experimentally known results. Our analysis predicts that the strength of the inter-PF interaction (E(s)(m)) has to be comparable to the strength of the curvature energy (E(b)(m)) such that E(s)(m) - E(b)(m) ≈ 1kBT, and questions the prevalent notion that unzippering results from the domination of bending energy of curved GDP PFs. Our work demonstrates how the shape of the free energy landscape is crucial in explaining the mechanism of MT shrinkage where the unzippered PFs will fluctuate in a set of partially peeled off states and subunit dissociation will reduce the length.
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