Comprehensive identification of peptides in tandem mass spectra using an efficient open search engine.
作者： Hao Chi , Chao Liu , Hao Yang , Wen-Feng Zeng , Long Wu
DOI: 10.1038/NBT.4236
关键词: Computational biology 、 Human proteome project 、 Identification (information) 、 Computer science 、 Search engine 、 Tandem mass spectrum
摘要: We present a sequence-tag-based search engine, Open-pFind, to identify peptides in an ultra-large search space that includes coeluting peptides, unexpected modifications and digestions. Our method detects peptides with higher precision and speed than seven other search engines. Open-pFind identified 70–85% of the tandem mass spectra in four large-scale datasets and 14,064 proteins, each supported by at least two protein-unique peptides, in a human proteome dataset.
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