Cameo: A Python Library for Computer Aided Metabolic Engineering and Optimization of Cell Factories.
ACS Synth Biol
; 7(4): 1163-1166, 2018 04 20.
Article
em En
| MEDLINE
| ID: mdl-29558112
ABSTRACT
Computational systems biology methods enable rational design of cell factories on a genome-scale and thus accelerate the engineering of cells for the production of valuable chemicals and proteins. Unfortunately, the majority of these methods' implementations are either not published, rely on proprietary software, or do not provide documented interfaces, which has precluded their mainstream adoption in the field. In this work we present cameo, a platform-independent software that enables in silico design of cell factories and targets both experienced modelers as well as users new to the field. It is written in Python and implements state-of-the-art methods for enumerating and prioritizing knockout, knock-in, overexpression, and down-regulation strategies and combinations thereof. Cameo is an open source software project and is freely available under the Apache License 2.0. A dedicated Web site including documentation, examples, and installation instructions can be found at http//cameo.bio . Users can also give cameo a try at http//try.cameo.bio .
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Software
/
Biologia Computacional
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Engenharia Metabólica
Tipo de estudo:
Prognostic_studies
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article