Department of Chemistry and Biochemistry, University of Arizona, Tucson, AZ 85721, USA.
Bioinformatics. 2012 Oct 1;28(19):2548-50. doi: 10.1093/bioinformatics/bts442. Epub 2012 Jul 12.
Peptide identification algorithm is a major bottleneck for mass spectrometry based chemical cross-linking experiments. Our lab recently developed an intensity-incorporated peptide identification algorithm, and here we implemented this scheme for cross-linked peptide discovery. Our program, SQID-XLink, searches all regular, dead-end, intra and inter cross-linked peptides simultaneously, and its effectiveness is validated by testing a published dataset. This new algorithm provides an alternative approach for high confidence cross-linking identification.
SQID-XLink program is freely available for download from http://quiz2.chem.arizona.edu/wysocki/bioinformatics.htm
Supplementary data are available at Bioinformatics online.
肽段鉴定算法是基于质谱的化学交联实验的主要瓶颈。我们实验室最近开发了一种强度整合的肽段鉴定算法,在此我们将其应用于交联肽段的发现。我们的程序 SQID-XLink 可以同时搜索所有常规、无环、内交联和外交联肽段,其有效性通过测试一个已发表的数据集得到验证。这个新算法为高可信度交联鉴定提供了一种替代方法。
SQID-XLink 程序可从 http://quiz2.chem.arizona.edu/wysocki/bioinformatics.htm 免费下载。
补充数据可在 Bioinformatics 在线获取。