Learning protein sequence embeddings using information from …
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- DOI 10.48550/arxiv.1902.08661
- PMID https://pubmed.ncbi.nlm.nih.gov/41768824
- OpenAlex ID W2909727437
- Type Conference-paper
- Language EN
- Published 22 Feb 2019
- Volume 2019
- Pages 3162–3178
- Source PubMed
- Publisher National Institutes of Health
- FWCI 91.33
- Added 10 Oct 2025
- Updated 16 Oct 2026
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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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2 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Tristan Bepler | — | |
| 2 | Bonnie Berger | — |
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