Literature DB >> 31493861

Multiscale Computational Modeling of Tubulin-Tubulin Lateral Interaction.

Mahya Hemmat1, Brian T Castle2, Jonathan N Sachs2, David J Odde3.   

Abstract

Microtubules are multistranded polymers in eukaryotic cells that support key cellular functions such as chromosome segregation, motor-based cargo transport, and maintenance of cell polarity. Microtubules self-assemble via "dynamic instability," in which the dynamic plus ends switch stochastically between alternating phases of polymerization and depolymerization. A key question in the field is what are the atomistic origins of this switching, i.e., what is different between the GTP- and GDP-tubulin states that enables microtubule growth and shortening, respectively? More generally, a major challenge in biology is how to connect theoretical frameworks across length- and timescales, from atoms to cellular behavior. In this study, we describe a multiscale model by linking atomistic molecular dynamics (MD), molecular Brownian dynamics (BD), and cellular-level thermokinetic modeling of microtubules. Here, we investigated the underlying interaction energy when tubulin dimers associate laterally by performing all-atom MD simulations. We found that the lateral potential energy is not significantly different among three nucleotide states of tubulin, GTP, GDP, and GMPCPP and is estimated to be ≅ -11 kBT. Furthermore, using MD potential energy in our BD simulations of tubulin dimers confirms that the lateral bond is weak on its own, with a mean lifetime of ∼0.1 μs, implying that the longitudinal bond is required for microtubule assembly. We conclude that nucleotide-dependent lateral-bond strength is not the key mediator microtubule dynamic instability, implying that GTP acts elsewhere to exert its stabilizing influence on microtubule polymer. Furthermore, the estimated lateral-bond strength (ΔGlat0≅ -5 kBT) is well-aligned with earlier estimates based on thermokinetic modeling and light microscopy measurements. Thus, we have computationally connected atomistic-level structural information, obtained by cryo-electron microscopy, to cellular-scale microtubule assembly dynamics using a combination of MD, BD, and thermokinetic models to bridge from Ångstroms to micrometers and from femtoseconds to minutes.
Copyright © 2019. Published by Elsevier Inc.

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Year:  2019        PMID: 31493861      PMCID: PMC6818183          DOI: 10.1016/j.bpj.2019.08.011

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  72 in total

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Journal:  Nature       Date:  1998-01-08       Impact factor: 49.962

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Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-18       Impact factor: 11.205

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  5 in total

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Journal:  Biophys J       Date:  2020-05-01       Impact factor: 4.033

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Journal:  Biomimetics (Basel)       Date:  2019-10-18

3.  Bending-torsional elasticity and energetics of the plus-end microtubule tip.

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Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-18       Impact factor: 11.205

4.  Atomistic Basis of Microtubule Dynamic Instability Assessed Via Multiscale Modeling.

Authors:  Mahya Hemmat; David J Odde
Journal:  Ann Biomed Eng       Date:  2021-02-03       Impact factor: 3.934

5.  Atomistic molecular dynamics simulations of tubulin heterodimers explain the motion of a microtubule.

Authors:  Alexandr Nasedkin; Inna Ermilova; Jan Swenson
Journal:  Eur Biophys J       Date:  2021-07-02       Impact factor: 1.733

  5 in total

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