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S-PLM: Structure-aware Protein Language Model via Contrastive Learning between Sequence and Structure
Large protein language models (PLMs) have presented excellent potential to reshape protein research. The trained PLMs encode the amino acid sequence of a protein to a mathematical embedding that can be used for protein design or property prediction. It is recognized that protein 3D structure plays a...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441326/ https://www.ncbi.nlm.nih.gov/pubmed/37609352 http://dx.doi.org/10.1101/2023.08.06.552203 |