Suppr超能文献

SPIDER:用于从带有从头测序错误的序列标签中鉴定蛋白质的软件。

SPIDER: software for protein identification from sequence tags with de novo sequencing error.

作者信息

Han Yonghua, Ma Bin, Zhang Kaizhong

机构信息

Department of Computer Science, University of Western Ontario, London, Canada.

出版信息

Proc IEEE Comput Syst Bioinform Conf. 2004:206-15. doi: 10.1109/csb.2004.1332434.

Abstract

For the identification of novel proteins using MS/MS, de novo sequencing software computes one or several possible amino acid sequences (called sequence tags) for each MS/MS spectrum. Those tags are then used to match, accounting amino acid mutations, the sequences in a protein database. If the de novo sequencing gives correct tags, the homologs of the proteins can be identified by this approach and software such as MS-BLAST is available for the matching. However, de novo sequencing very often gives only partially correct tags. The most common error is that a segment of amino acids is replaced by another segment with approximately the same masses. We developed a new efficient algorithm to match sequence tags with errors to database sequences for the purpose of protein and peptide identification. A software package, SPIDER, was developed and made available on Internet for free public use. This paper describes the algorithms and features of the SPIDER software.

摘要

对于使用串联质谱(MS/MS)鉴定新型蛋白质,从头测序软件会为每个MS/MS谱计算一个或几个可能的氨基酸序列(称为序列标签)。然后,考虑氨基酸突变,使用这些标签来匹配蛋白质数据库中的序列。如果从头测序给出正确的标签,那么通过这种方法可以鉴定出蛋白质的同源物,并且可以使用诸如MS-BLAST之类的软件进行匹配。然而,从头测序常常只能给出部分正确的标签。最常见的错误是一段氨基酸被另一段质量大致相同的氨基酸所取代。为了鉴定蛋白质和肽段,我们开发了一种新的高效算法,用于将带有错误的序列标签与数据库序列进行匹配。开发了一个软件包SPIDER,并在互联网上免费提供给公众使用。本文描述了SPIDER软件的算法和特点。

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