Structure models of G72, the product of a susceptibility gene to schizophrenia

Y. Kato, K. Fukui
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引用次数: 3

Abstract

The G72 gene is one of the most susceptible genes to schizophrenia and is contained exclusively in the genomes of primates. The product of the G72 gene modulates the activity of D-amino acid oxidase (DAO) and is a small protein prone to aggregate, which hampers its structural studies. In addition, lack of a known structure of a homologue makes it difficult to use the homology modelling method for the prediction of the structure. Thus, we first developed a hybrid ab initio approach for small proteins prior to the prediction of the structure of G72. The approach uses three known ab initio algorithms. To evaluate the hybrid approach, we tested our prediction of the structure of the amino acid sequences whose structures were already solved and compared the predicted structures with the experimentally solved structures. Based on these comparisons, the average accuracy of our approach was calculated to be ∼5 Å. We then applied the approach to the sequence of G72 and successfully predicted the structures of the N- and C-terminal domains (ND and CD, respectively) of G72. The predicted structures of ND and CD were similar to membrane-bound proteins and adaptor proteins, respectively.
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精神分裂症易感基因G72的结构模型
G72基因是最易患精神分裂症的基因之一,只存在于灵长类动物的基因组中。G72基因的产物调节d -氨基酸氧化酶(DAO)的活性,是一种易于聚集的小蛋白,这阻碍了其结构研究。此外,缺乏已知的同源物结构使得难以使用同源建模方法进行结构预测。因此,在预测G72的结构之前,我们首先开发了一种用于小蛋白质的杂交从头算方法。该方法使用了三种已知的从头算算法。为了验证杂交方法的有效性,我们对已经解出的氨基酸序列进行了预测,并将预测的结构与实验解出的结构进行了比较。基于这些比较,我们的方法的平均精度计算为~ 5 Å。然后,我们将该方法应用于G72序列,并成功预测了G72的N端和c端结构域(分别为ND和CD)的结构。ND和CD的预测结构分别与膜结合蛋白和接头蛋白相似。
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