Author

E. Eliana

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Organism:yeast· 2 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

J. Schmitz· 2 shared M. Suarez-Diez· 2 shared R. van der Hoek· 2 shared V. A. P. Martins dos Santos· 2 shared P. Zwartjens· 1 shared S. Gosiewska· 1 shared S. Moreno Paz· 1 shared S. Moreno-Paz· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 25 mutual co-author links

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2 shared papersBioengineering

J. Schmitz

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintNov 28, 2023

Combinatorial optimization of pathway, process and media for the production of p-coumaric acid by Saccharomyces cerevisiae

S. Moreno Paz, R. van der Hoek, E. Eliana…·M. Suarez-Diez

This study optimizes p-coumaric acid production in Saccharomyces cerevisiae by combining statistical experimental design with process and genetic factors, achieving a 168-fold increase in titer.

DOI 10.1101/2023.11.28.568970

yeaststatistical model

BioengineeringbioRxivNov 27, 2023

Machine learning-guided optimization of p-coumaric acid production in yeast

S. Moreno-Paz, R. van der Hoek, E. Eliana…·M. Suarez-Diez

The paper uses machine learning to optimize p-coumaric acid production in yeast through DBTL cycles, achieving a 68% increase in production.

DOI 10.1021/acssynbio.4c00035

yeastmachine learning (classical)