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PepSpecBench: A Unified Evaluation Benchmark for Peptide Tandem Mass Spectrometry Prediction
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Introduces PepSpecBench, a unified, backbone-disjoint, cross-species benchmark for peptide MS/MS fragment-intensity prediction that projects six baselines into a shared 234-dim ion space and probes robustness to NCE and charge perturbations.
Problem
Peptide MS/MS spectrum prediction lacks comparable evaluation: heterogeneous preprocessing and output spaces, leakage from random or modified-sequence splits, and little cross-species or metadata-sensitivity testing.
Approach
Harmonizes PROSPECT and MassIVE-KB under shared filters, enforces backbone-disjoint splits by hashing the naked peptide sequence, projects all model outputs into one canonical b/y ion space, and adds zero-shot cross-species OOD sets and NCE/charge perturbation probes.
Key results
- Prosit Transformer has the best in-domain SA on MassIVE-KB (0.0977) while Prosit leads on PROSPECT (SA 0.1376), so top rankings are source-dependent.
- Naive random splitting lowers Prosit's median SA on PROSPECT from 0.1376 to 0.1254 and raises PCC from 0.8921 to 0.9099, showing inflated accuracy.
- Under MassIVE-KB training, PredFull outperforms Prosit on all five OOD testbeds, and Prosit reaches negative median PCC on several subsets; AlphaPeptDeep collapses on 98.0% of charge-perturbed spectra.
Surprising findings
- In-domain leaderboard ordering fails to predict OOD robustness; the MassIVE-KB-trained Prosit models rank last-but-one OOD despite top in-domain scores.
- AlphaPeptDeep ignores the precursor charge input, with 98.0% collapsed predictions under a z=2 to 3 shift.
Limitations
- Backbone-disjoint splitting still permits higher-order sequence homology (13% of PROSPECT test backbones within edit distance 1 of train).
- Scope limited to three PTMs (acetylation, carbamidomethylation, oxidation), peptide lengths 6-40, and charges 1-6.
- Cross-species OOD comparisons are confounded by differences in NCE, PTM rate and instrument type across sources.
Experimental setup
Datasets: PROSPECT MassIVE-KB PXD014877 PXD027742
Benchmarks: PepSpecBench in-domain (MassIVE-KB, PROSPECT) PepSpecBench cross-species OOD suite (7 subsets)
Metrics: spectral angle (SA) spectral angle similarity (SAS) Pearson correlation (PCC)
Baselines: Prosit Prosit Transformer AlphaPeptDeep PredFull UniSpec FastSpel
Builds on: Prosit AlphaPeptDeep PredFull UniSpec FastSpel
Closest papers by meaning
- NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics (NeurIPS 2024 · similarity 0.91)
- MassSpecGym: A benchmark for the discovery and identification of molecules (NeurIPS 2024 · similarity 0.89)
- PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics (NeurIPS 2024 · similarity 0.88)
- Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing (ICML 2025 · similarity 0.87)
- GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem (NeurIPS 2026 · similarity 0.87)
- AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases (NeurIPS 2024 · similarity 0.87)
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