三维蛋白质结构中成分偏置区的序列特征

S. Tamana, I. Kirmitzoglou, V. Promponas
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引用次数: 1

摘要

相当多的研究工作已经投入到识别(并因此过滤)“不寻常”组成的局部片段(组成偏倚或低复杂性区域;cbr或lcr)在蛋白质序列中。这种兴趣主要是由于已知CBR的存在会在序列数据库搜索方法中创建工件(即生物学上不相关的命中)。尽管到目前为止还没有证明cbr具有普遍的生物学意义,但它们通常与缺乏规则结构有关。然而,常用的CBR检测方法的应用表明,CBR的实例可以在具有实验确定的三维结构的蛋白质中找到。在这项工作中,我们强调了两种最广泛使用的CBR检测算法在精心编制的具有实验确定结构的蛋白质数据集中检测到的CBR的序列特性。我们的目标是阐明CBR序列的性质,未来的前景是阐明它们与蛋白质三维结构的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sequence features of Compositionally Biased regions in three dimensional protein structures
A considerable research effort has already been put on the identification (and consequently filtering) of local segments of “unusual” composition (Compositionally Biased or Low Complexity Regions; CBRs or LCRs) in protein sequences. This interest was mainly initiated due to the fact that CBR existence is known to create artifacts (i.e. biologically irrelevant hits) in sequence database search methods. Even though no general biological significance has been demonstrated for CBRs so far, they are often associated with the lack of regular structure. However, application of commonly used methods for CBR detection illustrates that instances of CBRs can be found in proteins with experimentally determined three dimensional structures. In this work, we highlight sequential properties of CBRs detected by two of the most widely used CBR detection algorithms in carefully compiled datasets of proteins with experimentally determined structures. Our goal is to shed light on the properties of CBR sequences, with the future prospect of elucidating their relation to protein three dimensional structure.
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