Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies

Protein language models, trained on millions of biologically observed sequences, generate feature-rich numerical representations of protein sequences. These representations, called sequence embeddings, can infer structure-functional properties, despite protein language models being trained on primar...

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Detalles Bibliográficos
Autores principales: Yeung, Wayland, Zhou, Zhongliang, Mathew, Liju, Gravel, Nathan, Taujale, Rahil, O’Boyle, Brady, Salcedo, Mariah, Venkat, Aarya, Lanzilotta, William, Li, Sheng, Kannan, Natarajan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851311/
https://www.ncbi.nlm.nih.gov/pubmed/36642409
http://dx.doi.org/10.1093/bib/bbac619

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851311/
https://www.ncbi.nlm.nih.gov/pubmed/36642409
http://dx.doi.org/10.1093/bib/bbac619

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