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机构地区:[1]德州学院物理系,山东德州253023 [2]山东省功能大分子生物物理重点实验室,山东德州253023
出 处:《宝鸡文理学院学报(自然科学版)》2015年第1期53-57,共5页Journal of Baoji University of Arts and Sciences(Natural Science Edition)
基 金:National Natural Science Foundation of China(11203006;11303003);Shandong Provincial Nature Science Foundation(ZR2012AQ029;ZR2013AM002);Dezhou University Foundation(402126)
摘 要:目的利用Benford定理分析固有无序蛋白(Intrinsically Disordered Proteins,IDPs)。方法利用本福特定律在生物通路动力学速率常数的成功运用所受到的启发来分析固有无序蛋白。结果与结论首次系统地调查固有无序蛋白,并发现所有固有无序蛋白及固有无序蛋白的结构域长度首位数的分布都很好地符合本福特定律。因此,固有无序蛋白能做为一个理想的组合来研究实际生活得到的数据的首位数分布,此外,这些观察值还能用来全局地约束固有无序蛋白的行为,这也许能够为固有无序蛋白更加精确的预测提供有用的信息,也将对很多疾病的治疗提供新的思路。Objective—To analyze intrinsically disordered proteins(IDPs)with the Benford's law.Methods—The first digital distribution of the length of intrinsically disordered protein(IDPs)in the well-defined protein science domain was investigated systematically and it was found that the length of intrinsically disordered proteins and disordered regions of intrinsically disordered proteins(i.e.intrinsically disordered regions,for short,IDRs)agreed excellently with the Benford's distribution,respectively.Results and Conclusion—Therefore intrinsically disordered protein can serve as an ideal assemblage for studying the first digital distributions of the data gotten from real world,and the observations can be used to constrain the behavior of intrinsically disordered proteins globally,which may provide useful information for developing more accurate predictor of IDPs.
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