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Tooluniverse Variant Predictor DMS Validation

Data Science & Analytics

Validate a variant-effect predictor (AlphaMissense, ESM-C SAE, ESM logits, EVE, conservation scores, or any per-variant numeric score) against experimental deep mutational scanning (DMS) data. Computes per-variant predictor scores, splits variants into neutral vs disruptive groups by DMS effect, runs a Mann-Whitney U test on the predictor scores, and sweeps the stratification thresholds for robustness. Use when you need to know whether a predictor's scores track real functional disruption on a specific protein.

Publisher / source

mims-harvard/ToolUniverse (found on GitHub top repositories)

Upstream record

mims-harvard/ToolUniverse

Version

Version 1

Published

2026-11-11

Publication review

Approved for publication

Content fingerprint

1a33bde1fd2a563750473b40ede4c4aa18696f0ca2613b665ef1026af7acb4db

Review before you use it

Publication approval is a recorded review state, not a guarantee of safe execution. Check the upstream license, required tools and permissions, and test in your intended client.

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Source: https://prompeteer.ai/skills-hub/efc8ba4e-d5b8-42ae-bcba-796daa0fcb49