ArticleScientific reports2023
Mzion enables deep and precise identification of peptides in data-dependent acquisition proteomics.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Multiomic Characterization of Pre- and Post-Neoadjuvant Chemotherapy-Treated Ovarian Cancer Reveals Mediators of Tumorigenesis and Chemotherapy Response.Cancer research · 2025Article
- Assessment of false discovery rate control in tandem mass spectrometry analysis using entrapment.Nature methods · 2025Article
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Abstract
Sensitive and reliable identification of proteins and peptides pertains the basis of proteomics. We introduce Mzion, a new database search tool for data-dependent acquisition (DDA) proteomics. Our tool utilizes an intensity tally strategy and achieves generally a higher performance in terms of depth and precision across 20 datasets, ranging from large-scale to single-cell proteomics. Compared to several other search engines, Mzion matches on average 20% more peptide spectra at tryptic enzymatic specificity and 80% more at no enzymatic specificity from six large-scale, global datasets. Mzion also identifies more phosphopeptide spectra that can be explained by fewer proteins, demonstrated by six large-scale, local datasets corresponding to the global data. Our findings highlight the potential of Mzion for improving proteomic analysis and advancing our understanding of protein biology.
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