PMut
Neural-network missense pathogenicity predictor.
No reviewed evaluations are linked here in this release. See the sources and separately identified configurations below.
Overview
Neural-network missense pathogenicity predictor.
Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Evaluations and results
0 evaluations · 0 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
No evaluations linked in this release.
Source checking is not independent reproduction. Release 2026-10-10-84341e0b121f.
Use this model
How it works, versions and access
Strengths, limitations and unresolved questions
Evidence
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
Evidence table
Inspect claims, sources and review details
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Sources and history
Release 2026-10-10-84341e0b121f · Record review: source checked
1 source records and release history
- Cubuk et al. 2021, Supplementary tables 1-13 (41436_2021_1265_MOESM3_ESM.xlsx) · Original source · 41436_2021_1265_MOESM3_ESM.xlsx
Technical metadata and extraction receipts
Stable ID: brca-20261009-method-pmut
- areas
- dna-genomes
- contexts
- clinical_research
- method types
- supervised_machine_learning
- reported name
- PMut
- entity level
- method
- source locator
- Supplementary Table 1 and Supplementary Table 5 of Cubuk et al. 2021
- missing metadata
- version: reason: inapplicable; note: Family record; score sources are on configurations
Related records
- uses model: Concordant calls of PMut and rfPred (Cubuk et al. 2021)
- uses model: Concordant calls of Revel_b and PMut (Cubuk et al. 2021)
- uses model: Concordant calls of Revel_b and PMut and rfPred (Cubuk et al. 2021)
- configuration of: PMut (Cubuk et al. 2021)