Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism

Through advanced mechanistic modeling and the generation of large high-quality datasets, machine learning is becoming an integral part of understanding and engineering living systems. Here we show that mechanistic and machine learning models can be combined to enable accurate genotype-to-phenotype p...

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Detalles Bibliográficos
Autores principales: Zhang, Jie, Petersen, Søren D., Radivojevic, Tijana, Ramirez, Andrés, Pérez-Manríquez, Andrés, Abeliuk, Eduardo, Sánchez, Benjamín J., Costello, Zak, Chen, Yu, Fero, Michael J., Martin, Hector Garcia, Nielsen, Jens, Keasling, Jay D., Jensen, Michael K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519671/
https://www.ncbi.nlm.nih.gov/pubmed/32978375
http://dx.doi.org/10.1038/s41467-020-17910-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519671/
https://www.ncbi.nlm.nih.gov/pubmed/32978375
http://dx.doi.org/10.1038/s41467-020-17910-1

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