MEWpy: a computational strain optimization workbench in Python

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.

Automated summary

Metabolic Engineering focuses on increasing the production of natural and non-natural metabolites by modifying cellular processes, while Computational Strain Optimization plays a crucial role in identifying potential metabolic modifications to achieve defined production goals.