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ACS Synthetic Biology
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August 24, 2023
Simulated Design-Build-Test-Learn Cycles for Consistent Comparison of Machine Learning Methods in Metabolic Engineering
Paul van Lent, Joep Schmitz, Thomas Abeel
Computational and Structural Biotechnology Journal
|
May 13, 2024
<i>In silico</i> analysis of design of experiment methods for metabolic pathway optimization
Sara Moreno-Paz, Joep Schmitz, Maria Suarez-Diez
Frontiers in Bioengineering and Biotechnology
|
July 11, 2026
Comparing metabolic engineering scenarios using simulated design-build-test-learn-cycles
Paul Van Lent, Sara Moreno Paz, Joep Schmitz, et al.
Plos Computational Biology
|
July 7, 2025
Jaxkineticmodel: Neural ordinary differential equations inspired parameterization of kinetic models
Paul van Lent, Olga Bunkova, Bálint Magyar, et al.
Microbial Biotechnology
|
January 20, 2022
Enzyme-constrained models predict the dynamics of Saccharomyces cerevisiae growth in continuous, batch and fed-batch bioreactors
Sara Moreno-Paz, Joep Schmitz, Vitor A P Martins Dos Santos, et al.
Microbial Biotechnology
|
March 26, 2024
Combinatorial optimization of pathway, process and media for the production of p-coumaric acid by Saccharomyces cerevisiae
Sara Moreno-Paz, Rianne van der Hoek, Elif Eliana, et al.
ACS Synthetic Biology
|
March 21, 2023
Design of Four Small-Molecule-Inducible Systems in the Yeast Chromosome, Applied to Optimize Terpene Biosynthesis
Jong Hyun Park, Marcelo C Bassalo, Geng-Min Lin, et al.
ACS Synthetic Biology
|
March 28, 2024
Machine Learning-Guided Optimization of <i>p</i>-Coumaric Acid Production in Yeast
Sara Moreno-Paz, Rianne van der Hoek, Elif Eliana, et al.
Microbial Cell Factories
|
November 19, 2023
Carboxylic acid reductase-dependent biosynthesis of eugenol and related allylphenols
Erik K R Hanko, Kris Niño G Valdehuesa, Koen J A Verhagen, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
ACS Synthetic Biology
|
August 24, 2023
Simulated Design-Build-Test-Learn Cycles for Consistent Comparison of Machine Learning Methods in Metabolic Engineering
Paul van Lent, Joep Schmitz, Thomas Abeel
Computational and Structural Biotechnology Journal
|
May 13, 2024
<i>In silico</i> analysis of design of experiment methods for metabolic pathway optimization
Sara Moreno-Paz, Joep Schmitz, Maria Suarez-Diez
Frontiers in Bioengineering and Biotechnology
|
July 11, 2026
Comparing metabolic engineering scenarios using simulated design-build-test-learn-cycles
Paul Van Lent, Sara Moreno Paz, Joep Schmitz, et al.
Plos Computational Biology
|
July 7, 2025
Jaxkineticmodel: Neural ordinary differential equations inspired parameterization of kinetic models
Paul van Lent, Olga Bunkova, Bálint Magyar, et al.
Microbial Biotechnology
|
January 20, 2022
Enzyme-constrained models predict the dynamics of Saccharomyces cerevisiae growth in continuous, batch and fed-batch bioreactors
Sara Moreno-Paz, Joep Schmitz, Vitor A P Martins Dos Santos, et al.
Microbial Biotechnology
|
March 26, 2024
Combinatorial optimization of pathway, process and media for the production of p-coumaric acid by Saccharomyces cerevisiae
Sara Moreno-Paz, Rianne van der Hoek, Elif Eliana, et al.
ACS Synthetic Biology
|
March 21, 2023
Design of Four Small-Molecule-Inducible Systems in the Yeast Chromosome, Applied to Optimize Terpene Biosynthesis
Jong Hyun Park, Marcelo C Bassalo, Geng-Min Lin, et al.
ACS Synthetic Biology
|
March 28, 2024
Machine Learning-Guided Optimization of <i>p</i>-Coumaric Acid Production in Yeast
Sara Moreno-Paz, Rianne van der Hoek, Elif Eliana, et al.
Microbial Cell Factories
|
November 19, 2023
Carboxylic acid reductase-dependent biosynthesis of eugenol and related allylphenols
Erik K R Hanko, Kris Niño G Valdehuesa, Koen J A Verhagen, et al.
Page
of 1