Neural network extrapolation to distant regions of the protein fitness landscape

Machine learning (ML) has transformed protein engineering by constructing models of the underlying sequence-function landscape to accelerate the discovery of new biomolecules. ML-guided protein design requires models, trained on local sequence-function information, to accurately predict distant fitn...

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Detalles Bibliográficos
Autores principales: Fahlberg, Sarah A, Freschlin, Chase R, Heinzelman, Pete, Romero, Philip A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659313/
https://www.ncbi.nlm.nih.gov/pubmed/37987009
http://dx.doi.org/10.1101/2023.11.08.566287

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659313/
https://www.ncbi.nlm.nih.gov/pubmed/37987009
http://dx.doi.org/10.1101/2023.11.08.566287

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