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Updated: Nov 21, 2025

Design and Optimization Strategies of a High-Performance Vented Box
Published on: June 9, 2023
MEWpy: a computational strain optimization workbench in Python
Vítor Pereira1, Fernando Cruz1, Miguel Rocha1
1Centre of Biological Engineering, University of Minho, Braga 4710-057, Portugal.
Summary:
Metabolic Engineering aims to favour the overproduction of native, as well as non-native, metabolites by modifying or extending the cellular processes of a specific organism. In this context, Computational Strain Optimization (CSO) plays a relevant role by putting forward mathematical approaches able to identify potential metabolic modifications to achieve the defined production goals. We present MEWpy, a Python workbench for metabolic engineering, which covers a wide range of metabolic and regulatory modelling approaches, as well as phenotype simulation and CSO algorithms.
Availability And Implementation:
MEWpy can be installed from PyPi (pip install mewpy), the source code being available at https://github.com/BioSystemsUM/mewpy under the GPL license.
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