Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Database searching is the major peptide identification method in shotgun proteomics. It searches tandem mass spectrometry (MS/MS) spectra against a protein database to identify target peptides. The success of such a database searching method relies on a scoring algorithm that can evaluate the quality of peptide-spectrum matches (PSMs) accurately. Hover, current scoring algorithms frequently generate inaccurate assignments due to variations and noises in the MS/MS spectra. To address this issue,  like to improve peptide identification by using additional information from other data sources.#R##N##R##N#Results: Single-stage MS data is complementary to MS/MS data in the sense that it provides broader mass coverage but less sequence information. In this article,  show that single-stage MS data can be used to re-rank PSMs. The proposed method explores a linear combination of scores beten MS and MS/MS data to perform re-ranking. Experimental results on real data show that such a re-ranking strategy improves the identification performance significantly.#R##N##R##N#Availability: http://bioinformatics.ust.hk/ReRankPSMwMS1.rar #R##N##R##N#Contact: eezyhe@ust.hk#R##N##R##N#Supplementary information:Supplementary data are available at Bioinformatics online.
['Zengyou He', 'Weichuan Yu']
I am writing a research paper on a idea Improving peptide identification with single-stage mass spectrum peaks
[{"from": "human", "value": "I am writing a research paper on a idea Improving peptide identification with single-stage mass spectrum peaks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Database searching is the major peptide identification method in shotgun proteomics. It searches tandem mass spectrometry (MS/MS) spectra against a protein database to identify target peptides. The success of such a database searching method relies on a scoring algorithm that can evaluate the quality of peptide-spectrum matches (PSMs) accurately. Hover, current scoring algorithms frequently generate inaccurate assignments due to variations and noises in the MS/MS spectra. To address this issue,  like to improve peptide identification by using additional information from other data sources.#R##N##R##N#Results: Single-stage MS data is complementary to MS/MS data in the sense that it provides broader mass coverage but less sequence information. In this article,  show that single-stage MS data can be used to re-rank PSMs. The proposed method explores a linear combination of scores beten MS and MS/MS data to perform re-ranking. Experimental results on real data show that such a re-ranking strategy improves the identification performance significantly.#R##N##R##N#Availability: http://bioinformatics.ust.hk/ReRankPSMwMS1.rar #R##N##R##N#Contact: eezyhe@ust.hk#R##N##R##N#Supplementary information:Supplementary data are available at Bioinformatics online."}]