MEWpy：一个用Python编写的计算菌株优化工作台。
MEWpy: a computational strain optimization workbench in Python.
作者信息
Pereira Vítor, Cruz Fernando, Rocha Miguel
机构信息
Centre of Biological Engineering, University of Minho, Braga 4710-057, Portugal.
出版信息
Bioinformatics. 2021 Aug 25;37(16):2494-2496. doi: 10.1093/bioinformatics/btab013.
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.
摘要
代谢工程旨在通过修改或扩展特定生物体的细胞过程，促进天然和非天然代谢物的过量生产。在此背景下，计算菌株优化（CSO）通过提出能够识别潜在代谢修饰以实现既定生产目标的数学方法发挥了重要作用。我们展示了MEWpy，这是一个用于代谢工程的Python工作台，它涵盖了广泛的代谢和调控建模方法，以及表型模拟和CSO算法。
可用性和实现方式
MEWpy可以从PyPi（pip install mewpy）安装，其源代码可在https://github.com/BioSystemsUM/mewpy上以GPL许可获得。
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