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Detection of hidden periodicity in protein sequences and its correlation with structure and function of proteins

机译:检测蛋白质序列隐性周期性及其与蛋白质结构和功能的相关性

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This paper is directed to advance the mathematical methods of to reveal the hidden periodicity in biomolecular symbolic sequences and to apply them to particular questions of structure-function relationships in proteins. The abilities to predict thestructure and function of a protein based on its primary structure have ever been in the center of attention in bioinformatic research, and their importance is vastly increasing in the postgenomic era. Here we state that at least some of domainlevel structures have latent periodicities in their primary structure. They can be described using the periodic position-weight matrix, also called profile matrix, and then easily detected the way similar to common profile searches, using the novel notion of cyclic alignment. The results we obtained show that this is the case for many NAD-binding domains of oxidoreductases, and the period is close to 24 in that case. We noted that this periodicity may be involved by specific structure of NAD-binding site, knownfor the alternation of alpha helices and anti-parallel beta layers in it.
机译:本文旨在提前揭示生物分子符号序列中隐藏的周期性的数学方法,并将其应用于蛋白质中结构功能关系的特定问题。基于其主要结构的预测蛋白质的调节和功能的能力已经在生物信息研究中的关注中心,他们的重要性在后一组时代在大大增加。在这里,我们说明SomevelLevel结构中的至少一些在其主要结构中具有潜在的周期。可以使用周期性位置重量矩阵来描述它们,也称为轮廓矩阵,然后易于检测类似于常见轮廓搜索的方式,使用新颖的循环对准的概念。我们获得的结果表明,这种情况是氧化还原酶的许多NAD结合结构域的情况,在这种情况下,周期接近24。我们注意到,这种周期性可以通过NAD结合位点的特定结构涉及,已知为其中的α螺旋和抗平行β层的交替。

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