Article

A multitask neural network trained on embeddings from ESMFold can accurately rank order clinical outcomes for different cystic fibrosis mutations

2023-10-29

Abstract excerpt

Advancements in AI-based protein structure prediction have opened new research avenues in computational biology. Previous work has shown mixed results when the predicted 3D structure or model embeddings have been used as features for predicting phenotypes. Many existing tools which predict the pathogenicity of variants (e.g. SIFT 4G, Polyphen-2, REVEL, LYRUS) have incorporated structural protein features, but have...

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Literature Corpus work: 8d734b8a-ebee-5133-a78c-629c0d999ef9
DOI: 10.1101/2023.10.26.564274

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