Macro-proteome mining method and application of macro-proteome mining method in obtaining hydrolysis characteristics of intestinal microbial proteins

The invention belongs to the technical field of biology, and discloses a semi-trypsin polypeptide-centered metaproteome data mining method, which comprises the steps of two-step library searching, de novo sequencing, open retrieval and matching of various library searching software, and large-scale semi-trypsin polypeptide-centered metaproteome information mining is carried out aiming at high-resolution mass spectrum data. These strategies can reduce the false positive rate resulting from database incompleteness and post-translational modification. When the method is used for analyzing the escherichia coli proteome, 93.4% of peptide fragments identified from a huge macro protein database are consistent with peptide fragments identified from a traditional escherichia coli reference database. 本发明属于生物技术领域，公开了一种以半胰蛋白酶多肽为中心的宏蛋白质组数据挖掘方法，包括两步搜库、从头测序、开放式检索和多种搜库软件匹配，针对高分辨率质谱数据进行大规模的以半胰蛋白酶肽为中心的宏蛋白质组信息挖掘。这些策略可以减少因数据库不完整和翻译后修饰而产生的假阳性率。使用本发明的方法在分析大肠杆菌蛋白质组时，从一个巨大的宏蛋白数据库中鉴定出的肽段有93.4％与传统大肠杆菌参考数据库鉴定出的肽段相一致。