Complex systems in metabolic engineering.
Curr Opin Biotechnol
; 36: 107-14, 2015 Dec.
Article
em En
| MEDLINE
| ID: mdl-26319897
ABSTRACT
Metabolic engineers manipulate intricate biological networks to build efficient biological machines. The inherent complexity of this task, derived from the extensive and often unknown interconnectivity between and within these networks, often prevents researchers from achieving desired performance. Other fields have developed methods to tackle the issue of complexity for their unique subset of engineering problems, but to date, there has not been extensive and comprehensive examination of how metabolic engineers use existing tools to ameliorate this effect on their own research projects. In this review, we examine how complexity affects engineering at the protein, pathway, and genome levels within an organism, and the tools for handling these issues to achieve high-performing strain designs. Quantitative complexity metrics and their applications to metabolic engineering versus traditional engineering fields are also discussed. We conclude by predicting how metabolic engineering practices may advance in light of an explicit consideration of design complexity.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Engenharia Metabólica
Idioma:
En
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Estados Unidos