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A Collaborative Approach to Improving Missense Mutational Effect Predictions in Oncoproteins

2025-05-16

Abstract excerpt

Missense mutations in oncoproteins play a key role in cancer, which makes their accurate classification essential for cancer diagnosis and treatment. Although various variant effect prediction algorithms have been developed, their accuracy varies across different proteins. In this study, we introduce the APE score, a novel ensemble metric that integrates three state-of-the-art unsupervised predictors—AlphaMissense...

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Literature Corpus work
244e1ebc-26c8-50d1-b2cb-5b4c24fa8ed9
DOI
10.1101/2025.05.15.25327738
Open publication

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A Collaborative Approach to Improving Missense Mutational Effect Predictions in OncoproteinsDOI 10.1101/2025.05.15.25327738
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