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Stochastic model of template-directed elongation processes in biology

机译:生物学中模板指导的延伸过程的随机模型

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摘要

We present a novel modular, stochastic model for biological template-based linear chain elongation processes. In this model, elongation complexes (ECs; DNA polymerase, RNA polymerase, or ribosomes associated with nascent chains) that span a finite number of template units step along the template, one after another, with semaphore constructs preventing overtaking. The central elongation module is readily extended with modules that represent initiation and termination processes. The model was used to explore the effect of EC span on motor velocity and dispersion, and the effect of initiation activator and repressor binding kinetics on the overall elongation dynamics. The results demonstrate that (1) motors that move smoothly are able to travel at a greater velocity and closer together than motors that move more erratically, and (2) the rate at which completed chains are released is proportional to the occupancy or vacancy of activator or repressor binding sites only when initiation or activator/repressor dissociation is slow in comparison with elongation.
机译:我们为基于生物模板的线性链延伸过程提出了一种新颖的模块化,随机模型。在此模型中,延伸复合物(EC; DNA聚合酶,RNA聚合酶或与新生链相关的核糖体)跨越有限数量的模板单元,沿着信号模板依次移动,并带有信号量结构以防止超车。中央延伸模块很容易用代表起始和终止过程的模块进行延伸。该模型用于探讨EC跨度对运动速度和离散度的影响,以及引发活化剂和阻遏物结合动力学对整体伸长动力学的影响。结果表明:(1)平稳运动的电动机比不规则运动的电动机能以更大的速度行进并更靠近,并且(2)完整链条的释放速率与活化剂的占有率或空缺率成正比仅当起始或活化剂/阻遏物的解离与伸长相比较慢时,才可确定阻遏物或阻遏物的结合位点。

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