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Statistical limits to the identification of ion channel domains by sequence similarity

机译:通过序列相似性鉴定离子通道域的统计极限

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摘要

The study of ion channel function is constrained by the availability of structures for only a small number of channels. A commonly used bioinformatics technique is to assert, based on sequence similarity, that a domain within a channel of interest has the same structure as a reference domain for which the structure is known. This technique, while useful, is often employed when there is only a slight similarity between the channel of interest and the domain of known structure. In this study, we exploit recent advances in structural genomics to calculate the sequence-based probability of the presence of putative domains in a number of ion channels. We find strong support for the presence of many domains that have been proposed in the literature. For example, eukaryotic and prokaryotic CLC proteins almost certainly share a common structure. A number of proposed domains, however, are not as well supported. In particular, for the COOH terminus of the BK channel we find a number of literature proposed domains for which the assertion of common structure based on common sequence has a nontrivial probability of error.
机译:离子通道功能的研究受到只能用于少量通道的结构的限制。常用的生物信息学技术是基于序列相似性,断言目标通道内的结构域与已知结构的参考域具有相同的结构。这种技术虽然有用,但通常在感兴趣的通道与已知结构的结构域之间只有很小的相似性时才采用。在这项研究中,我们利用结构基因组学的最新进展来计算在多个离子通道中推定域存在的基于序列的概率。我们发现文献中已经提出了许多领域的存在的强有力支持。例如,真核和原核CLC蛋白几乎可以肯定具有共同的结构。但是,很多提议的领域也没有得到很好的支持。特别是,对于BK通道的COOH末端,我们发现了许多文献中提出的域,对于这些域,基于公共序列的公共结构的断言具有不小的错误概率。

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