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Statistical Mechanics Provides Novel Insights into Microtubule Stability and Mechanism of Shrinkage
Author(s) -
Ishutesh Jain,
Mandar M. Inamdar,
Ranjith Padinhateeri
Publication year - 2015
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1004099
Subject(s) - shrinkage , statistical mechanics , mechanism (biology) , stability (learning theory) , microtubule , statistical physics , computer science , biological system , physics , biology , microbiology and biotechnology , machine learning , quantum mechanics
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 m s) has to be comparable to the strength of the curvature energy (E m b) such thatE m s − E m b ≈ 1 k B T , 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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