Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida

Abstract Although synthetic biology can produce valuable chemicals in a renewable manner, its progress is still hindered by a lack of predictive capabilities. Media optimization is a critical, and often overlooked, process which is essential to obtain the titers, rates and yields needed for commerci...

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Egile Nagusiak:	Apostolos Zournas, Matthew R. Incha, Tijana Radivojevic, Vincent Blay, Jose Manuel Martí, Zak Costello, Matthias Schmidt, Tan Chung, Mitchell G. Thompson, Allison Pearson, Patrick C. Kinnunen, Thomas Eng, Christopher E. Lawson, Stephen Tan, Tadeusz Ogorzalek, Nurgul Kaplan, Mark Forrer, Tyler Backman, Aindrila Mukhopadhyay, Nathan J. Hillson, Jay D. Keasling, Hector Garcia Martin
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Nature Portfolio 2025-04-01
Saila:	Communications Biology
Sarrera elektronikoa:	https://doi.org/10.1038/s42003-025-08039-2
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida

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