A Billion-Scale Dataset for Proteomics AI
Standardized corpus combines mass spectra from 35 species and multiple instruments
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Standardized corpus combines mass spectra from 35 species and multiple instruments
MassNet standardizes 1.54 billion tandem mass spectra from 648 projects, 27,643 runs, and 35 animal, plant, and microbial species.
Reanalysis with FragPipe and Sage yielded 548 million peptide-spectrum matches, 2.54 million unique peptides, and 133,422 proteins.
The MSDT format stores spectra with peptide identifications and experimental metadata, and its files were approximately 82% smaller than the source files.
Trained on 100 million peptide-spectrum matches, XuanjiNovo outperformed five other de novo sequencing models in a 15-species benchmark.
MassNet includes only spectra identified by FragPipe or Sage and does not systematically cover modifications such as phosphorylation, glycosylation, or ubiquitination.
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.
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