肿瘤抑制蛋白p53的同源物:用于药物设计的生物信息学研究。

MOJ proteomics & bioinformatics Pub Date : 2020-01-01 Epub Date: 2020-02-05
Kelly M Thayer, Claudia Carcamo
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引用次数: 0

摘要

研究肿瘤抑制蛋白p53相关蛋白的序列和结构,为治疗药物的开发提供思路。我们的研究解决了阻碍新药上市的两个主要问题:副作用和动物模型的人工产物。在我们研究的第一阶段,我们进行了全基因组搜索,以确定可能易受脱靶效应影响的与p53相似的潜在蛋白质。在第二阶段,我们选择了一些常见的模式生物,这些模式生物可能会提供给大学里的本科生研究人员,根据序列同源性和预测结构的结构相似性,评估哪些生物利用p53与人类最相似。我们的研究结果证实,人类中与p53显著相似的蛋白质是p53家族中已知的类似物。在考虑模式生物时,小鼠p53在序列和结构上与人类p53有很大的相似性,但其他动物的表现也很相似。我们在其他结构基准的背景下讨论了这些发现,并指出了在未来药物设计试点研究中使用的各种替代方案的潜在优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Homologs of the Tumor Suppressor Protein p53: A Bioinformatics Study for Drug Design.

Sequence and structure of proteins related to the tumor suppressor protein p53 were studied from the perspective of gaining insight for the development of therapeutic drugs. Our study addresses two major issues encumber bringing novel drugs to market: side effects and artifacts from animal models. In the first phase of our study, we performed a genome-wide search to identify potentially similar proteins to p53 that may be susceptible to off target effects. In the second phase, we chose a selection of common model organisms that could potentially be available to undergraduate researchers in the university setting to assess which ones utilize p53 most similar to humans on the basis of sequence homology and structural similarity from predicted structures. Our results confirm the proteins in the humans significantly similar to p53 are known paralogs within the p53 family. In considering model organisms, murine p53 bore great similarity to human p53 in terms of both sequence and structure, but others performed similarly well. We discuss the findings against the background of other structural benchmarks and point out potential benefits and drawbacks of various alternatives for use in future drug design pilot studies.

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