PepSpecBench E. coli OOD subsets (both sources aggregated), median SA
Zero-shot out-of-distribution transfer: models trained on one in-domain source are scored without adaptation; median SA over spectra in the shared canonical fragment space.
Overview
An explanatory profile has not yet been reviewed for this record.
Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
12 recorded evaluations, 12 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.
Results
Results are available, but no reviewed comparison panel is linked in this release.
All evaluations
12 evaluations · 12 results. Different protocols are not a single leaderboard.
Protocol: PepSpecBench E. coli OOD subsets (both sources aggregated), median SA · Dataset: PepSpecBench E. coli OOD subsets (both sources aggregated)
Sorted by Spectral angle (median over spectra, shared canonical fragment space) (lower is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.
All 12 result rows with coverage, uncertainty and sources
Filter evaluations
Applied filters: All linked evaluations
Source checking is not independent reproduction. Release 2026-10-23-5347695500ed.
Methods and evaluation design
Procedure, tasks and evaluated configurations
Recorded evaluations
Each evaluation records what was tested and under which conditions.
- AlphaPeptDeep (trained on MassIVE-KB) on E. coli OOD subsets (both sources aggregated), SA
- AlphaPeptDeep (trained on PROSPECT) on E. coli OOD subsets (both sources aggregated), SA
- FastSpel (trained on MassIVE-KB) on E. coli OOD subsets (both sources aggregated), SA
- FastSpel (trained on PROSPECT) on E. coli OOD subsets (both sources aggregated), SA
- PredFull (trained on MassIVE-KB) on E. coli OOD subsets (both sources aggregated), SA
- PredFull (trained on PROSPECT) on E. coli OOD subsets (both sources aggregated), SA
- Prosit (trained on MassIVE-KB) on E. coli OOD subsets (both sources aggregated), SA
- Prosit (trained on PROSPECT) on E. coli OOD subsets (both sources aggregated), SA
- Prosit Transformer (trained on MassIVE-KB) on E. coli OOD subsets (both sources aggregated), SA
- Prosit Transformer (trained on PROSPECT) on E. coli OOD subsets (both sources aggregated), SA
- UniSpec (trained on MassIVE-KB) on E. coli OOD subsets (both sources aggregated), SA
- UniSpec (trained on PROSPECT) on E. coli OOD subsets (both sources aggregated), SA
Baseline coverage
Reference methods help show what a model adds beyond simple controls. We track a null control and a conventional method for each protocol.
0 of 2 active baseline roles have published Rewire measurements in this release. Measurements on a selected protocol do not establish coverage of an entire suite.
No execution recipe linked to this protocol. Recipe availability does not establish a completed evaluation.
- External evaluations
- 12
Literature evidence is not a Rewire measurement. Executed but unpublished runs and private review status are not included.
Null control
Proposed control: requires review
Protocol-valid seeded random ranking; no fitting on assay labels
Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.
This is a suggested selection rule, not a validated method or a measured score.
Conventional reference
Proposed control: requires review
Established label-free reference with explicitly permitted sequence/MSA inputs
Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.
This is a suggested selection rule, not a validated method or a measured score.
Protocol coverage CSV (gzip) · Model evaluation matrix (gzip) · Source table (gzip) · Release and checksums (gzip)
Coverage is derived from release 2026-10-23-5347695500ed. Source citations describe the original records; they do not validate an unreviewed baseline proposal. No results have been generated by this audit.
Run instructions
No runnable recipe has been reviewed for this protocol. Dataset access, model requirements, licences and compute requirements must be checked against its sources before execution.
Evidence
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Evidence table
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Sources and history
Release 2026-10-23-5347695500ed · Record review: source checked
1 source record and release history
- PepSpecBench: A Unified Evaluation Benchmark for Peptide Tandem Mass Spectrometry Prediction · Original source · arXiv:2605.01945v1 (submitted 2026-05-03), arXiv HTML rendering
Technical metadata and extraction receipts
Stable ID: lit-otheromics-20261011-pepspecbench-protocol-e-coli-sa
- areas
- proteins-complexes
- contexts
- research
- protocol
- Predict fragment intensities for each spectrum, project to the shared canonical b/y space, mask invalid positions, compute SA per spectrum and take the median.
- version
- PepSpecBench v1
- metric
- spectral-angle
- metric direction
- lower
- unit
- unitless
- metric qualifier
- median over spectra, shared canonical fragment space
- source locator
- Section 3.3 (metrics and evaluation protocol); Table 4
- limitations
- Preprint.; Medians, not means.; OOD results depend on the training source; compare only within one training source.
Related records
- part of: PepSpecBench
- uses data: PepSpecBench E. coli OOD subsets (both sources aggregated)
- assessment: AlphaPeptDeep (trained on MassIVE-KB) on E. coli OOD subsets (both sources aggregated), SA
- assessment: AlphaPeptDeep (trained on PROSPECT) on E. coli OOD subsets (both sources aggregated), SA
- assessment: FastSpel (trained on MassIVE-KB) on E. coli OOD subsets (both sources aggregated), SA
- assessment: FastSpel (trained on PROSPECT) on E. coli OOD subsets (both sources aggregated), SA
- assessment: PredFull (trained on MassIVE-KB) on E. coli OOD subsets (both sources aggregated), SA
- assessment: PredFull (trained on PROSPECT) on E. coli OOD subsets (both sources aggregated), SA
- assessment: Prosit (trained on MassIVE-KB) on E. coli OOD subsets (both sources aggregated), SA
- assessment: Prosit (trained on PROSPECT) on E. coli OOD subsets (both sources aggregated), SA
- assessment: Prosit Transformer (trained on MassIVE-KB) on E. coli OOD subsets (both sources aggregated), SA
- assessment: Prosit Transformer (trained on PROSPECT) on E. coli OOD subsets (both sources aggregated), SA
- assessment: UniSpec (trained on MassIVE-KB) on E. coli OOD subsets (both sources aggregated), SA
- assessment: UniSpec (trained on PROSPECT) on E. coli OOD subsets (both sources aggregated), SA