Superior protein thermophilicity prediction with protein language model embeddings

Protein thermostability is important in many areas of biotechnology, including enzyme engineering and protein-hybrid optoelectronics. Ever-growing protein databases and information on stability at different temperatures allow the training of machine learning models to predict whether proteins are th...

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Detalles Bibliográficos
Autores principales: Haselbeck, Florian, John, Maura, Zhang, Yuqi, Pirnay, Jonathan, Fuenzalida-Werner, Juan Pablo, Costa, Rubén D, Grimm, Dominik G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Standard Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566323/
https://www.ncbi.nlm.nih.gov/pubmed/37829176
http://dx.doi.org/10.1093/nargab/lqad087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566323/
https://www.ncbi.nlm.nih.gov/pubmed/37829176
http://dx.doi.org/10.1093/nargab/lqad087

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