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AFFIPred: AlphaFold2 Structure-based Functional Impact Prediction of Missense Variations

2024-05-15

Abstract excerpt

Structural information holds immense potential for pathogenicity prediction of missense variations, albeit structure-based pathogenicity classifiers are limited compared to their sequence-based counterparts due to the well-known gap between sequence and structure data. Leveraging the highly accurate protein structure prediction method, AlphaFold2 (AF2), we introduce AFFIPred, an ensemble machine learning classifie...

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Literature Corpus work
e70139e1-4ed7-55eb-be19-9f7dae9efe48
DOI
10.1101/2024.05.13.593840
Open publication

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AFFIPred: AlphaFold2 Structure-based Functional Impact Prediction of Missense VariationsDOI 10.1101/2024.05.13.593840
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