ArticleBiophysical journal2011
A physical model reveals the mechanochemistry responsible for dynein's processive motion.
Article in Biophysical journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dynamic catch-bonding generates the large stall forces of cytoplasmic dynein.Physical biology · 2020Article
- A model for the chemomechanical coupling of the mammalian cytoplasmic dynein molecular motor.European biophysics journal : EBJ · 2019Article
- A mathematical understanding of how cytoplasmic dynein walks on microtubules.Royal Society open science · 2018Article
- The winch model can explain both coordinated and uncoordinated stepping of cytoplasmic dynein.Biophysical journal · 2014Article
- Motor proteins and molecular motors: how to operate machines at the nanoscale.Journal of physics. Condensed matter : an Institute of Physics journal · 2013Review
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Authors and funding
4 authors.
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Abstract
The molecular motor dynein is associated with various cellular activities, such as directed transport along microtubules and the rhythmic beating of the axoneme. Because of the size and complexity of the protein, a detailed understanding of the mechanochemistry that drives dynein's processive motion is lacking. To overcome this deficiency, we developed the first (to our knowledge) computational model for two-headed dynein that couples conformational changes of the motor's subunits to the biochemical steps involved in ATP hydrolysis. Analysis of the model provides what we believe are several novel insights into how the protein functions: 1), structural constraints limit the motion of the free microtubule binding domain to one dimension, increasing the efficiency with which this domain finds a binding site; 2), in addition to the power stroke of the bound head, recovery of the free head to a pre-power-stroke conformation is required for this head to reach a forward binding site; 3), the order in which the power stroke and recovery transitions occur affects the probability of back-stepping; and 4), the existence of multiple equilibria in the motor's bending energy provides a mechanism for processive back-stepping. To the best of our knowledge, our computational model provides the first complete mechanochemical description of the motor protein dynein, and the findings presented here should motivate new experimental investigations to test its predictions.
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