Infer global, predict local: Quantity-relevance trade-off in protein fitness predictions from sequence data

Predicting the effects of mutations on protein function is an important issue in evolutionary biology and biomedical applications. Computational approaches, ranging from graphical models to deep-learning architectures, can capture the statistical properties of sequence data and predict the outcome o...

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Detalles Bibliográficos
Autores principales: Posani, Lorenzo, Rizzato, Francesca, Monasson, Rémi, Cocco, Simona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645369/
https://www.ncbi.nlm.nih.gov/pubmed/37883593
http://dx.doi.org/10.1371/journal.pcbi.1011521

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645369/
https://www.ncbi.nlm.nih.gov/pubmed/37883593
http://dx.doi.org/10.1371/journal.pcbi.1011521

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