Suppr超能文献

通过插入缺失感知算法识别的蛋白质家族的潜在周期性。

Latent periodicity of protein families, identified with the indel-aware algorithm.

作者信息

Laskin Andrew A, Skryabin Konstantin G, Korotkov Eugene V

机构信息

Bioengineering Center of Russian Academy of Sciences, Prospect 60-tya Oktyabrya 7/1, 117312 Moscow, Russia.

出版信息

J Proteome Res. 2007 Feb;6(2):862-8. doi: 10.1021/pr0603203.

Abstract

Latent amino acid repeats seem to be widespread in genetic sequences and to reflect their structure, function, and evolution. We have recently identified latent periodicity in more than 150 protein families including protein kinases and various nucleotide-binding proteins. The latent repeats in these families were correlated to their structure and evolution. However, a majority of known protein families were not identified with our latent periodicity search algorithm. The main presumable reason for this was the inability of our techniques to identify periodicities interspersed with insertions and deletions. We designed the new latent periodicity search algorithm, which is capable of taking into account insertions and deletions. As a result, we identified many novel cases of latent periodicity peculiar to protein families. Possible origins of the periodic structure of these families are discussed. Summarizing, we presume that latent periodicity is present in a substantial portion of known protein families. The latent periodicity matrices and the results of Swiss-Prot scans are available from http://bioinf.narod.ru/del/.

摘要

潜在氨基酸重复序列似乎在基因序列中广泛存在,并反映了它们的结构、功能和进化。我们最近在包括蛋白激酶和各种核苷酸结合蛋白在内的150多个蛋白质家族中发现了潜在周期性。这些家族中的潜在重复序列与它们的结构和进化相关。然而,大多数已知蛋白质家族并未通过我们的潜在周期性搜索算法识别出来。造成这种情况的主要推测原因是我们的技术无法识别穿插有插入和缺失的周期性。我们设计了新的潜在周期性搜索算法,该算法能够考虑插入和缺失情况。结果,我们识别出了许多蛋白质家族特有的潜在周期性新案例。讨论了这些家族周期性结构的可能起源。总之,我们推测潜在周期性存在于相当一部分已知蛋白质家族中。潜在周期性矩阵和瑞士蛋白质数据库扫描结果可从http://bioinf.narod.ru/del/获取。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验