Søren D. Petersen

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

Jay D Keasling, Jens Nielsen, Zak Costello, 2020, Nature Communications.

Functional mining of transporters using synthetic selections.

Mette Kristensen, Hans J Genee, H. J. Genee, 2016, Nature chemical biology.

Predictive engineering and optimization of tryptophan metabolism in yeast through a combination of mechanistic and machine learning models

Yu Chen, Jay D. Keasling, Hector Garcia Martin, 2019, bioRxiv.

HSP70-binding motifs function as protein quality control degrons

K. E. Johansson, Søren D Petersen, K. Lindorff-Larsen, 2021, bioRxiv.

Snake Venomics Display: An online toolbox for visualization of snake venomics data

Andreas H Laustsen, A. H. Laustsen, Søren D Petersen, 2018, Toxicon : official journal of the International Society on Toxinology.

Literate programming for iterative design-build-test-learn cycles in bioengineering

J. Keasling, Nikolaus Sonnenschein, J. Madsen, 2023, bioRxiv.

Modular 5′-UTR hexamers for context-independent tuning of protein expression in eukaryotes

J. Keasling, M. K. Jensen, Jie Zhang, 2018, Nucleic acids research.

Functional mining of transporters using synthetic selections.

H. J. Genee, M. Sommer, M. Bonde, 2016, Nature chemical biology.

Yield prediction in spring barley from spectral reflectance and weather data using machine learning

C. Petersen, Søren D. Petersen, M. K. Langgaard, 2023, Soil Use and Management.