Learning protein sequence embeddings using information from …

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Learning protein sequence embeddings using information from structure

Conference-paper 2019 EN Green

Inferring the structural properties of a protein from its amino acid sequence is a challenging yet important problem in biology. Structures are not known for the vast majority of protein sequences, but structure is critical for understanding function. Existing approaches for detecting structural similarity between proteins from sequence are unable to recognize and exploit structural patterns when…

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1 Tristan Bepler —
2 Bonnie Berger —

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