MEWpy: a computational strain optimization workbench in Python

Abstract 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 mathematic...

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Bibliographic Details
Published inBioinformatics (Oxford, England) Vol. 37; no. 16; pp. 2494 - 2496
Main Authors Pereira, Vítor, Cruz, Fernando, Rocha, Miguel
Format Journal Article
LanguageEnglish
Published England Oxford University Press 25.08.2021
Oxford Publishing Limited (England)
Subjects
Algorithms
Applications Notes
Availability
Computer applications
Mathematical models
Metabolic engineering
Metabolites
Optimization
Phenotypes
Source code
Workbenches
Online AccessGet full text
ISSN1367-4803
1367-4811
1367-4811
DOI10.1093/bioinformatics/btab013

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Summary:Abstract 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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ISSN:1367-4803
1367-4811
1367-4811
DOI:10.1093/bioinformatics/btab013