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首页> 外文期刊>Physical chemistry chemical physics: PCCP >Coupling between motor proteins determines dynamic behaviors of motor protein assemblies
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Coupling between motor proteins determines dynamic behaviors of motor protein assemblies

机译:电机蛋白质之间的耦合决定了电机蛋白组件的动态行为

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Transport of intracellular cargos by multiple microtubule motor proteins is believed to be a common and significant phenomenon in vivo, yet signatures of the microscopic dynamics of multiple motor systems are only now beginning to be resolved. Understanding these mechanisms largely depends on determining how grouping motors affect their association with microtubules and stepping rates, and hence, cargo run lengths and velocities. We examined this problem using a discrete state transition rate model of collective transport. This model accounts for the structural and mechanical properties in binding/unbinding and stepping transitions between distinct microtubule-bound configurations of a multiple motor system. In agreement with previous experiments that examine the dynamics of two coupled kinesin-1 motors, the energetic costs associated with deformations of mechanical linkages within a multiple motor assembly are found to reduce the system's overall microtubule affinity, producing attenuated mean cargo run lengths compared to cases where motors are assumed to function independently. With our present treatment, this attenuation largely stems from reductions in the microtubule binding rate and occurs even when mechanical coupling between motors is weak. Thus, our model suggests that, at least for a variety of kinesin-dependent transport processes, the net 'gains' obtained by grouping motors together may be smaller than previously expected.
机译:通过多种微管型电机蛋白的传输是在体内常见而显着的现象,但多个电动机系统的显微动态的差异现在开始被解决。理解这些机制在很大程度上取决于确定分组电机如何影响其与微管和步进速率的关系,因此,货物运行长度和速度。我们使用集体运输的离散状态转换率模型检查了这个问题。该型号用于结构和机械性能的结合/解除和步进转换,与多个电动机系统的不同微管绑定配置之间的踩踏转换。在与先前的实验中,考虑了两个耦合的Kinesin-1电机的动态,发现与多电机组件内的机械连接变形相关的能量成本降低了系统的总体微管亲和力,与病例相比,产生减毒的平均货物运行长度。其中假设电机独立运作。通过我们目前的处理,这种衰减很大程度上源于微管结合速率的减少,并且即使电动机之间的机械耦合弱。因此,我们的模型表明,至少对于各种依赖于各种依赖的运输过程,通过将电动机获得的净“增益”可以小于先前预期的。

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