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...

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Detalles Bibliográficos
Autores principales: Matic, Marin, Singh, Gurdeep, Carli, Francesco, De Oliveira Rosa, Natalia, Miglionico, Pasquale, Magni, Lorenzo, Gutkind, J Silvio, Russell, Robert B, Inoue, Asuka, Raimondi, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Web Server Issue
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

Internet

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

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