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Memory induced-mechanism of noise attenuator of myosin V molecular motors.
- Source :
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Bio Systems [Biosystems] 2024 Mar; Vol. 237, pp. 105139. Date of Electronic Publication: 2024 Feb 07. - Publication Year :
- 2024
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Abstract
- Depending on the chemical energy from ATP hydrolysis, myosin V can drive the multistep and continuous coupled cycling process to transport cellular cargo to targeted regions. However, it is still obscure how the molecular memory induced by the multistep coupled transported process could regulate the dynamic behavior of the motor state of myosin V. Here, we propose a novel non-Markovian polymorphic mechanochemical model to investigate the effect of the molecular memory on the mechanic of noise attenuation of myosin V system. We first define an effective transition rate for a multistep coupled reaction process which is the function of memory and system states to transform equivalently the non-Markovian process into the classical Markov process. By noise decomposition technology, it is observed that both the intrinsic and extrinsic noises of the ADP-myosin V bound state (AM ⋅ ADP) exhibit a monotonically decreasing trend with lengthening the molecular memory. Molecular memory as a regulation factor can amplify the contribution of intrinsic noise to the overall noise while reducing the influence of extrinsic noise on the AM ⋅ ADP. Moreover, the modulation of molecular memory could induce stochastic focusing. These results indicate that the role of molecular memory in the myosin V state transition can not only offer a handle to maintain the robustness of the motion system but also serve as a paradigm for studying more complex molecular motors.<br />Competing Interests: Declaration of competing interest The authors declare that they have no conflicts of interests.<br /> (Copyright © 2024 Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1872-8324
- Volume :
- 237
- Database :
- MEDLINE
- Journal :
- Bio Systems
- Publication Type :
- Academic Journal
- Accession number :
- 38336223
- Full Text :
- https://doi.org/10.1016/j.biosystems.2024.105139