Article

Massive experimental quantification of amyloid nucleation allows interpretable deep learning of protein aggregation

2024-07-17

Abstract excerpt

Protein aggregation is a pathological hallmark of more than fifty human diseases and a major problem for biotechnology. Methods have been proposed to predict aggregation from sequence, but these have been trained and evaluated on small and biased experimental datasets. Here we directly address this data shortage by experimentally quantifying the amyloid nucleation of >100,000 protein sequences. This unprecedented...

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Identifiers and source

Literature Corpus work: 94553ab9-e627-56ba-9ea0-ef9bbc7601bd
DOI: 10.1101/2024.07.13.603366

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