Characterizing and ranking computed metabolic engineering strategies.

ABSTRACT:

Motivation

The computer-aided design of metabolic intervention strategies has become a key component of an integrated metabolic engineering approach and a broad range of methods and algorithms has been developed for this task. Many of these algorithms enforce coupling of growth with product synthesis and may return thousands of possible intervention strategies from which the most suitable strategy must then be selected.

Results

This work focuses on how to evaluate and rank, in a meaningful way, a given pool of computed metabolic engineering strategies for growth-coupled product synthesis. Apart from straightforward criteria, such as a preferably small number of necessary interventions, a reasonable growth rate and a high product yield, we present several new criteria useful

SUBMITTER: Schneider P 

PROVIDER: S-EPMC6735923 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature