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利用数据库衍生的距离约束对人朊病毒蛋白的欠定环进行优化

Refinement of under-determined loops of Human Prion Protein by database-derived distance constraints.

作者信息

Cui Feng, Mukhopadhyay Kriti, Young Won-Bin, Jernigan Robert L, Wu Zhijun

机构信息

Program on Bioinformatics and Computational Biology, Iowa State University, Ames, Iowa 50011, USA.

出版信息

Int J Data Min Bioinform. 2009;3(4):454-68. doi: 10.1504/ijdmb.2009.029206.

Abstract

Due to insufficient experimental restraints, a biologically critical loop region in PrP(c) (residues 167-171), which is a potential binding site for Protein X, is under-determined in most mammalian species. Here, we show that by adding information about distance constraints derived from a database of high-resolution protein structures, this under-determined loop as well as other secondary structural elements of the E200K variant of Human Prion Protein (hPrP(c)), a disease-related isoform, can be refined into more realistic structures in the structural ensemble with improved quality and increased accuracy. In particular, the ensemble becomes more compact after the refinement and the percentage of residues in the most favourable region of the Ramachandran diagram is increased to about 90% in the refined structures from the 80% to 85% range in the previously reported structures.

摘要

由于实验限制不足,朊蛋白(PrP(c))中一个对生物学至关重要的环区(第167 - 171位氨基酸残基),它是蛋白X的潜在结合位点,在大多数哺乳动物物种中其结构尚未确定。蛋白X是一种与疾病相关的异构体。在这里,我们表明,通过添加来自高分辨率蛋白质结构数据库的距离约束信息,这个尚未确定的环区以及人类朊病毒蛋白(hPrP(c))E200K变体的其他二级结构元件,可以在结构集合中被优化成更符合实际的结构,质量得到提高,准确性也有所增加。特别是,优化后结构集合变得更加紧凑,并且在拉氏图最有利区域的残基百分比在优化后的结构中从先前报道结构中的80% - 85%范围增加到了约90%。

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