Comparison of pathway analysis and constraint-based methods for cell factory design.

ABSTRACT:

Background

Computational strain optimisation methods (CSOMs) have been successfully used to exploit genome-scale metabolic models, yielding strategies useful for allowing compound overproduction in metabolic cell factories. Minimal cut sets are particularly interesting since their definition allows searching for intervention strategies that impose strong growth-coupling phenotypes, and are not subject to optimality bias when compared with simulation-based CSOMs. However, since both types of methods have different underlying principles, they also imply different ways to formulate metabolic engineering problems, posing an obstacle when comparing their outputs.

Results

In this work, we perform an in-depth analysis of potential strategies that can be obtained with both methods,

SUBMITTER: Vieira V 

PROVIDER: S-EPMC6585037 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature