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描述驱动蛋白运动的力学动力学的数学模型。

A mathematical model describing the mechanical kinetics of kinesin stepping.

机构信息

School of Information and Communication Technology, Gold Coast Campus, Griffith University, QLD 4222, Australia.

出版信息

Bioinformatics. 2014 Feb 1;30(3):353-9. doi: 10.1093/bioinformatics/btt698. Epub 2013 Nov 30.

Abstract

MOTIVATION

Kinesin is a smart motor protein that steps processively forward and backward along microtubules (MTs). The mechanical kinetics of kinesin affecting its stepping behavior is not fully understood. Here, we propose a mathematical model to study the mechanical kinetics of forward and backward stepping of kinesin motor based on the four-state discrete stochastic model of the motor.

RESULTS

Results show that the probabilities of forward and backward stepping can be modeled using the mean probabilities of forward and backward kinetic transitions, respectively. We show that the backward stepping of kinesin motor starts when the probability of adenosine diphosphate (ADP) binding to the motor is much higher than that of adenosine triphosphate (ATP) binding. Furthermore, our results indicate that the backward stepping is related to both ATP hydrolysis and synthesis with rate limiting factor being ATP synthesis. Low rate of ATP synthesis under high backward loads above 10 pN is also suggested as a reason for the detachment of kinesin motor from MT in the kinetic state MTċKinesinċADPċPi.

AVAILABILITY AND IMPLEMENTATION

The code for this work is written in Visual C# and is available by request from the authors.

摘要

动机

驱动蛋白是一种智能运动蛋白,可沿微管(MTs)进行前后向的渐进运动。但对于影响其步进行为的驱动蛋白机械动力学,人们尚未完全理解。在这里,我们基于马达的四状态离散随机模型,提出了一个数学模型来研究驱动蛋白的前进和后退步进的力学动力学。

结果

结果表明,可以分别使用正向和反向动力学跃迁的平均概率来对正向和反向步进的概率进行建模。我们表明,当 ADP 结合到马达上的概率远高于 ATP 结合的概率时,驱动蛋白的向后步进开始。此外,我们的结果表明,向后步进与 ATP 水解和合成都有关系,限速因素是 ATP 合成。在高于 10 pN 的高向后负载下,ATP 合成率较低也被认为是在 MTċKinesinċADPċPi 动力学状态下驱动蛋白从 MT 上脱离的原因。

可用性和实现

这项工作的代码是用 Visual C#编写的,可以向作者请求获得。

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