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Refinement of under-determined loops of human prion protein by database-derived distance constraints

机译:通过数据库衍生的距离约束改进人朊病毒蛋白质的不确定性环

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Computational simulations of the conversion from the normal cellular prion (PrPc) to the scrapie prion (PrPSc) are usually based on the structures determined by #MR because of the difficulties in crystallizing prion protein. Due to insufficient experimental restraints, a biologically critical loop region in PrPc (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 (hPrPc), 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. Our results not only provide significantly improved structures of the prion protein and hence would facilitate insights into its conversion in the spongiform encephalopathies, but also demonstrate the strong potential for using databases of known protein structures for structure determination and refinement.
机译:从普通蜂窝朊病毒(PRP c )转换为剥离朊病毒(prp sc )的计算模拟通常基于#mr因困难而确定的结构在结晶朊病毒蛋白。由于实验约束不足,PRP c (残基167-171)中的生物学临界环区域是蛋白x的潜在结合位点,在大多数哺乳动物物种中均未确定。在这里,我们表明,通过添加关于从高分辨率蛋白质结构的数据库衍生的距离约束的信息,这种欠态循环以及人朊蛋白的E200K变体的其他二次结构元素(HPRP C ),一种疾病相关的同种型,可以在结构集合中精制成更现实的结构,以提高质量和提高的准确性。特别地,在改进后,该集合变得更加紧凑,并且在先前报告的结构中,在RAMACHANDRAN图的最有利区域中最有利区域的残留物中残留物中的残留物的百分比增加到约90%。我们的结果不仅提供了显着改善的朊病毒蛋白的结构,因此将促进其在海绵状脑病中的转化率的洞察力,而且还证明了使用已知的蛋白质结构数据库进行结构测定和改进的强大潜力。

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