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通过分子动力学模拟和结构网络分析对甲硫氨酰 - tRNA合成酶中通信途径的研究。

A study of communication pathways in methionyl- tRNA synthetase by molecular dynamics simulations and structure network analysis.

作者信息

Ghosh Amit, Vishveshwara Saraswathi

机构信息

Molecular Biophysics Unit, Indian Institute of Science, Bangalore 560012, India.

出版信息

Proc Natl Acad Sci U S A. 2007 Oct 2;104(40):15711-6. doi: 10.1073/pnas.0704459104. Epub 2007 Sep 26.

DOI:10.1073/pnas.0704459104
PMID:17898174
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2000407/
Abstract

The enzymes of the family of tRNA synthetases perform their functions with high precision by synchronously recognizing the anticodon region and the aminoacylation region, which are separated by approximately 70 A in space. This precision in function is brought about by establishing good communication paths between the two regions. We have modeled the structure of the complex consisting of Escherichia coli methionyl-tRNA synthetase (MetRS), tRNA, and the activated methionine. Molecular dynamics simulations have been performed on the modeled structure to obtain the equilibrated structure of the complex and the cross-correlations between the residues in MetRS have been evaluated. Furthermore, the network analysis on these simulated structures has been carried out to elucidate the paths of communication between the activation site and the anticodon recognition site. This study has provided the detailed paths of communication, which are consistent with experimental results. Similar studies also have been carried out on the complexes (MetRS + activated methonine) and (MetRS + tRNA) along with ligand-free native enzyme. A comparison of the paths derived from the four simulations clearly has shown that the communication path is strongly correlated and unique to the enzyme complex, which is bound to both the tRNA and the activated methionine. The details of the method of our investigation and the biological implications of the results are presented in this article. The method developed here also could be used to investigate any protein system where the function takes place through long-distance communication.

摘要

氨酰tRNA合成酶家族的酶通过同步识别反密码子区域和氨酰化区域来高精度地执行其功能,这两个区域在空间上相距约70埃。功能上的这种精确性是通过在这两个区域之间建立良好的通信路径来实现的。我们对由大肠杆菌甲硫氨酰-tRNA合成酶(MetRS)、tRNA和活化甲硫氨酸组成的复合物的结构进行了建模。对建模结构进行了分子动力学模拟,以获得复合物的平衡结构,并评估了MetRS中残基之间的交叉相关性。此外,对这些模拟结构进行了网络分析,以阐明活化位点和反密码子识别位点之间的通信路径。这项研究提供了详细的通信路径,与实验结果一致。还对复合物(MetRS + 活化甲硫氨酸)和(MetRS + tRNA)以及无配体天然酶进行了类似的研究。对从这四个模拟中得出的路径进行比较清楚地表明,通信路径与同时结合了tRNA和活化甲硫氨酸的酶复合物密切相关且是独特的。本文介绍了我们的研究方法细节以及结果的生物学意义。这里开发的方法也可用于研究任何通过长距离通信发挥功能的蛋白质系统。

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