摘要
SEQUEST与Mascot为目前蛋白组学分析研究中使用最为广泛的蛋白质库搜索工具。尝试将Mascot与SEQUEST搜索结果进行比较,进而采用不同多变量判别方法对二者的搜索结果进行判别分析,以降低其结果的假阳性率。通过对Mascot与SEQUEST搜索结果进行比较,发现所得结果差异很大;利用多变量判别分析方法对Mascot及SEQUEST搜索结果进行判别分析,可有效提高SEQUEST结果中假阳性结果与正确结果之间的区分能力。对于Mascot搜索结果,采用多变量判别分析方法仍无法显著降低其假阳性结果,利用Decoy库搜索结果进行估计时亦存在导致错误估计的风险。
Mascot and SEQUEST are two of the most popular protein database search tools for proteomics research currently.In this study,we try to compare Mascot search results to SEQUEST search results,and then use different multivariate discriminant algorithms to analyze both search results to reduce false positives present in those.After the comparison of Mascot and SEQUEST search results,it can be found that there is a big difference between the results obtained by these two tools.For the search results of SEQUEST,multivariate discriminant algorithms can effectively reduce the false positive identifications.However,the discriminant algorithms could not reduce the false positive identifications for Mascot search results.Also,there are the estimate errors for estimating the decoy database search results by Mascot search.
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
2009年第10期1473-1478,共6页
Chinese Journal of Analytical Chemistry
基金
国家自然科学基金(No.20875104)
科技部国际国际合作项目(Nos.2006DFA41090
2007DA40680)资助
关键词
蛋白质库搜索算法
串联质谱
多变量判别分析
Decoy蛋白质序列库
Mascot database search tool
SEQUEST database search tool tandem mass spectrometry
partial least squares-linear discriminant analysis
decoy
protein database search
作者简介
E-mail：yizeng_liang@263．net
