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A Comprehensive Computational Model to Simulate Transcription Factor Binding in Prokaryotes

机译:模拟原核生物转录因子结合的综合计算模型

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Site specific transcription factors (TF) are proteins that orchestrate transcrip tion by binding to specific target sites on the DNA. This binding can be both sequence- and conformation-specific. However, also non-specific binding with lower affinity can be observed [3]. The number of specific target sites is signifi cantly smaller compared to the number of non-specific sites and, consequently, TF molecules bind, in a first instance, non-specifically to the DNA. Once bound to the DNA the TF molecules perform an one dimensional random walk on the DNA until they either find a target site or unbind from the DNA template. In particular, during the one dimensional random walk on the DNA, a molecule will perform one of the three types of movements: (ⅰ) sliding , (ⅱ) hopping and (ⅲ) jumping [6]. This combination of one and three dimensional diffusion is called facilitated diffusion and it is hypothesised that this speeds up the search process [3,2,5].
机译:位点特异性转录因子(TF)是通过结合到DNA上的特定靶位点来协调转录的蛋白质。这种结合既可以是序列特异性的,也可以是构象特异性的。但是,也可以观察到亲和力较低的非特异性结合[3]。与非特异性位点的数量相比,特异性靶位点的数量明显少,因此,TF分子首先非特异性地与DNA结合。一旦与DNA结合,TF分子就会在DNA上进行一维随机游走,直到找到目标位点或与DNA模板解除结合为止。特别是,在DNA上进行一维随机游走时,分子将执行以下三种运动之一:(ⅰ)滑动,(ⅱ)跳跃和(ⅲ)跳跃[6]。一维和三维扩散的这种组合称为促进扩散,并假设这可以加快搜索过程[3,2,5]。

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