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PRECOGx: exploring GPCR signaling mechanisms with deep protein representations
In this study we show that protein language models can encode structural and functional information of GPCR sequences that can be used to predict their signaling and functional repertoire. We used the ESM1b protein embeddings as features and the binding information known from publicly available stud...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252787/ https://www.ncbi.nlm.nih.gov/pubmed/35639758 http://dx.doi.org/10.1093/nar/gkac426 |