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Article

Quantifying uncertainty in Protein Representations Across Models and Task

2025-05-06

Abstract excerpt

Embeddings, derived by language models, are widely used as numeric proxies for human language sentences and structured data. In the realm of biomolecules, embeddings serve as efficient sequence and/or structure representations, enabling similarity searches, structure and function prediction, and estimation of biophysical and biological properties. However, relying on embeddings without assessing the model’s confid...

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Identifiers and source

Literature Corpus work
b300c069-41de-530a-b1da-247de166c176
DOI
10.1101/2025.04.30.651545
Open publication

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Quantifying uncertainty in Protein Representations Across Models and TaskDOI 10.1101/2025.04.30.651545
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