Probabilistic strain optimization under constraint uncertainty.

ABSTRACT:

Background

An important step in strain optimization is to identify reactions whose activities should be modified to achieve the desired cellular objective. Preferably, these reactions are identified systematically, as the number of possible combinations of reaction modifications could be very large. Over the last several years, a number of computational methods have been described for identifying combinations of reaction modifications. However, none of these methods explicitly address uncertainties in implementing the reaction activity modifications. In this work, we model the uncertainties as probability distributions in the flux carrying capacities of reactions. Based on this model, we develop an optimization method that identifies reactions for flux capacity modifications to pre

SUBMITTER: Yousofshahi M 

PROVIDER: S-EPMC3626866 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature