Engineered microbial cells present a sustainable alternative to fossil-based synthesis of chemicals and fuels. Cellular synthesis routes are readily assembled and introduced into microbial strains using state-of-the-art synthetic biology tools. However, the optimization of the strains required to reach industrially feasible production levels is far less efficient. It typically relies on trial-and-error leading into high uncertainty in total duration and cost. New techniques that can cope with the complexity and limited mechanistic knowledge of the cellular regulation are called for guiding the strain optimization. In this paper, we put forward a multi-agent reinforcement learning (MARL) approach that learns from experiments to tune the meta...
Conversion of renewable biomass to useful molecules in microbial cell factories can be approached in...
Full paperInternational audienceThe rational bacterial strain design is a major challenge in synthet...
To date, several independent methods and algorithms exist for exploiting constraint-based stoichiome...
Engineered microbial cells present a sustainable alternative to fossil-based synthesis of chemicals ...
Engineered microbial cells present a sustainable alternative to fossil-based synthesis of chemicals ...
Motivation: Metabolic engineering algorithms provide means to optimise a biological process leading ...
Genome scale modeling (GSM) predicts the performance of microbial workhorses and helps identify bene...
The field of synthetic biology aims to make the design of biological systems predictable, shrinking ...
Despite impressive progresses in systems metabolic engineering and synthetic biology, there are stil...
Industrial Biotechnology is increasingly replacing chemical processes in numerous industrial sectors...
Biological processes have demonstrated the potential to offer cost-effective and environment-friendl...
Microbial cell factories can have a transformative impact the chemical industry, but, first, we must...
Background: Computational strain optimisation methods (CSOMs) have been successfully used to exploit...
Shifting from chemical to biotechnological processes is one of the cornerstones of 21st century indu...
University of Minnesota Ph.D. dissertation. August 2010. Major: Chemical Engineering. Advisor: Fried...
Conversion of renewable biomass to useful molecules in microbial cell factories can be approached in...
Full paperInternational audienceThe rational bacterial strain design is a major challenge in synthet...
To date, several independent methods and algorithms exist for exploiting constraint-based stoichiome...
Engineered microbial cells present a sustainable alternative to fossil-based synthesis of chemicals ...
Engineered microbial cells present a sustainable alternative to fossil-based synthesis of chemicals ...
Motivation: Metabolic engineering algorithms provide means to optimise a biological process leading ...
Genome scale modeling (GSM) predicts the performance of microbial workhorses and helps identify bene...
The field of synthetic biology aims to make the design of biological systems predictable, shrinking ...
Despite impressive progresses in systems metabolic engineering and synthetic biology, there are stil...
Industrial Biotechnology is increasingly replacing chemical processes in numerous industrial sectors...
Biological processes have demonstrated the potential to offer cost-effective and environment-friendl...
Microbial cell factories can have a transformative impact the chemical industry, but, first, we must...
Background: Computational strain optimisation methods (CSOMs) have been successfully used to exploit...
Shifting from chemical to biotechnological processes is one of the cornerstones of 21st century indu...
University of Minnesota Ph.D. dissertation. August 2010. Major: Chemical Engineering. Advisor: Fried...
Conversion of renewable biomass to useful molecules in microbial cell factories can be approached in...
Full paperInternational audienceThe rational bacterial strain design is a major challenge in synthet...
To date, several independent methods and algorithms exist for exploiting constraint-based stoichiome...