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Article

Light Attention Predicts Protein Location from the Language of Life

2021-04-26

Abstract excerpt

<h4>Summary</h4> Although knowing where a protein functions in a cell is important to characterize biological processes, this information remains unavailable for most known proteins. Machine learning narrows the gap through predictions from expert-designed input features leveraging information from multiple sequence alignments (MSAs) that is resource expensive to generate. Here, we showcased using embeddings from...

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Identifiers and source

Literature Corpus work
387d0b7a-a150-50c1-87c6-25d27e0cc09a
DOI
10.1101/2021.04.25.441334
Open publication

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Light Attention Predicts Protein Location from the Language of LifeDOI 10.1101/2021.04.25.441334
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