AlphaMissense, BP4 ≤0.60 and PP3 ≥0.80 (Ramadane-Morchadi et al. 2025)
AlphaMissense with three-category PP3/BP4 thresholds.
Overview
AlphaMissense with three-category PP3/BP4 thresholds.
Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Evaluations and results
1 evaluation · 3 results. Different protocols are not a single leaderboard.
Filter evaluations
Applied filters: All linked evaluations
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
Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
0 evidence rows matching the loaded filters
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Sources and history
Release 2026-10-10-84341e0b121f · Record review: source checked
1 source records and release history
- ACMG/AMP interpretation of BRCA1 missense variants: Structure-informed scores add evidence strength granularity to the PP3/BP4 computational evidence · Original source · American Journal of Human Genetics 112(5):993, published 2025; PMC12120176 full-text XML
Technical metadata and extraction receipts
Stable ID: brca-20261009-config-ramadane2025-am-0-60-0-80
- areas
- dna-genomes
- contexts
- clinical_research
- method types
- supervised_machine_learning
- reported name
- AlphaMissense
- foundation model eligible
- false
- protocol
- BP4 if score ≤0.60, PP3 if score ≥0.80, no computational code in between
- source locator
- Table 1; Material and methods paragraphs 2-4
- missing metadata
- version: reason: unreported; note: Pre-computed scores from the dm_alphamissense storage bucket