首页> 外文期刊>Cancer science. >Molecular docking analysis of the protein-protein interaction between RelA-associated inhibitor and tumor suppressor protein p53 and its inhibitory effect on p53 action.
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Molecular docking analysis of the protein-protein interaction between RelA-associated inhibitor and tumor suppressor protein p53 and its inhibitory effect on p53 action.

机译:RelA相关抑制剂与肿瘤抑制蛋白p53之间蛋白-蛋白相互作用的分子对接分析及其对p53作用的抑制作用。

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RelA-associated inhibitor (RAI) was initially identified as a protein that interacts with the p65 subunit (RelA) of nuclear factor-kappaB. It was recently found to interact with the p53 tumor suppressor protein. RAI is a structural homolog of the p53-binding protein 2 and I kappaB family proteins, and is known to inhibit the DNA-binding activities of p65 and p53. In the present study, we have attempted to predict the 3-dimensional structure of RAI in complex with p53 using computational chemistry. In order to evaluate the predicted structure model, we created a series of RAI mutants in which the amino acid residues involved in the interaction with p53 were mutated, and examined their activities in blocking p53-mediated bax gene expression. Our observations support the validity of the predicted 3-dimensional model of the p53-RAI protein complex. Based on the p53-RAI complex model, we have demonstrated the biological importance of the R248 and R273 residues of p53, and the D775 and E795 residues of RAI, in the protein-protein interaction between p53 and RAI and the biological actions of these proteins. These findings will further clarify the biological actions of RAI in carcinogenesis and can be used for the development of a novel strategy in blocking the actions of RAI. The possible biological implications of RAI are also discussed.
机译:与RelA相关的抑制剂(RAI)最初被鉴定为与核因子kappaB的p65亚基(RelA)相互作用的蛋白质。最近发现它与p53肿瘤抑制蛋白相互作用。 RAI是p53结合蛋白2和I kappaB家族蛋白的结构同源物,并且已知抑制p65和p53的DNA结合活性。在本研究中,我们尝试使用计算化学方法预测p53配合物中RAI的3维结构。为了评估预测的结构模型,我们创建了一系列RAI突变体,其中突变了与p53相互作用的氨基酸残基,并检查了它们在阻断p53介导的bax基因表达中的活性。我们的观察结果支持预测的p53-RAI蛋白复合物3维模型的有效性。基于p53-RAI复杂模型,我们证明了p53的R248和R273残基以及RAI的D775和E795残基在p53和RAI之间的蛋白质相互作用以及这些蛋白质的生物学作用中的生物学重要性。这些发现将进一步阐明RAI在致癌作用中的生物学作用,并可用于开发一种新的策略来阻断RAI的作用。还讨论了RAI的可能生物学意义。

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