MTBAN
Missense variant effect predictor added by Brandes et al. alongside the dbNSFP methods (reference 63 of the article).
Results are recorded on linked configurations and versions of this method. Their settings and evaluations are kept separate below.
Results on linked records
This method has no results of its own in this release. One linked record has results. They are not assigned to the underlying method: each record keeps its own settings and evaluations, and its scores are on its own page.
- MTBAN (Brandes et al. 2023 clinical benchmarks) Configuration · configuration · 4 evaluations · 8 results
Overview
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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
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How it works, versions and access
Strengths, limitations and unresolved questions
Evidence
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Evidence table
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Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- Genome-wide prediction of disease variant effects with a deep protein language model (Brandes et al., Nature Genetics 2023) · Original source · Version of record, Nature Genetics 55, 1512-1522 (published 2023-08-10)
Technical metadata and extraction receipts
Stable ID: gfm-guides-20261014-esm1b-method-mtban
- areas
- protein-function
- contexts
- clinical_research
- method types
- specialist
- reported name
- MTBAN
- entity level
- method
- source locator
- Methods 'Other VEP methods' paragraph 1
- missing metadata
- version: reason: unreported
Related records
- configuration of: MTBAN (Brandes et al. 2023 clinical benchmarks)