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MEWpy: a computational strain optimization workbench in Python

2021; Oxford University Press; Volume: 37; Issue: 16 Linguagem: Inglês

10.1093/bioinformatics/btab013

1367-4811

Vítor Pereira, Fernando Cruz, Miguel Rocha,

Advanced Control Systems Optimization

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.MEWpy can be installed from PyPi (pip install mewpy), the source code being available at https://github.com/BioSystemsUM/mewpy under the GPL license.