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1,428 claims from 888 papers are on the record. 46 have been checked so far; the other 1,382 have no check with a result yet.

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Status: Unchecked ×Keyword: bidirectional LSTM ×Clear all

1 claim from 1 paper

1. Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics

   Learning protein sequence embeddings using information from structure

   Bepler and Berger · PubMed · 2019

   The paper trains LSTM models to turn protein sequences into structure-informed embeddings, which predict structural similarity and improve transmembrane domain prediction.

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   1. UncheckedThe authors' multi-task model predicted protein structural similarity better than other sequence-based methods and a top structure-based alignment method.“We show empirically that our multi-task framework outperforms other sequence-based methods and even a top-performing structure-based alignment method when predicting structural similarity, our goal.”