首页> 外文期刊>The journal of physical chemistry, B. Condensed matter, materials, surfaces, interfaces & biophysical >Nucleotide Selectivity at a Preinsertion Checkpoint of T7 RNA Polymerase Transcription Elongation
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Nucleotide Selectivity at a Preinsertion Checkpoint of T7 RNA Polymerase Transcription Elongation

机译:T7 RNA聚合酶转录伸长率的预介质检查点处的核苷酸选择性

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摘要

Nucleotide selection is crucial for transcription fidelity control, in particular, for viral T7 RNA polymerase (RNAP) lack of proofreading activity. It has been recognized that multiple kinetic checkpoints exist prior to full nucleotide incorporation. In this work, we implemented intensive atomistic molecular dynamics (MD) simulations to quantify how strong the nucleotide selection is at the initial checkpoint of an elongation cycle of T7 RNAP. The incoming nucleotides bind into a preinsertion site where a critical tyrosine residue locates nearby to assist the nucleotide selection. We calculated the relative binding free energy between a noncognate nucleotide and a cognate one at a preinsertion configuration via alchemical simulations, showing that a small selection free energy or the binding free energy difference (similar to 3 k(B)T) exists between the two nucleotides. Indeed, another preinsertion configuration favored by the noncognate nucleotides was identified, which,appears to be off path for further nucleotide insertion and additionally assists the nucleotide selection. By chemical master equation (CME) approach, we show that the small selection free energy: at the preinsertion site along with the off-path noncognate nucleotide filtering can help substantially to reduce the error rate and to Maintain the elongation rate high in the T7 RNAP transcription.
机译:核苷酸选择对于转录保真度控制至关重要,特别是对于病毒T7 RNA聚合酶(RNAP)缺乏校对活性。已经认识到,在全核苷酸掺入之前存在多种动力学检查点。在这项工作中,我们实施了强化原子分子动力学(MD)模拟,以量化核苷酸选择的强度在T7 RNAP伸长循环的初始检查点。进入的核苷酸结合到预期的位点,其中临界酪氨酸残基位于附近定位以帮助核苷酸选择。我们通过脱气模拟计算了在预介质构型中的非认知核苷酸和同一性核苷酸和同源α之间的相对结合能量,表明两者之间存在小的选择自由能或粘合的自由能量(类似于3k(b)t)核苷酸。实际上,鉴定了另一个由非认知核苷酸赞成的预介质配置,似乎是用于进一步核苷酸插入的路径,并且另外有助于核苷酸选择。通过化学硕士方程(CME)方法,我们表明小型无选择性:在预介质部位以及偏离路径非认知核苷酸过滤器中可以帮助大大降低误差率并保持T7 RNAP中的伸长率高转录。

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