%0 PDF
%T Probabilistic strain optimization under constraint uncertainty.
%A Yousofshahi, Mona.; Orshansky, Michael.; Lee, Kyongbum.; Hassoun, Soha.
%D 2016-08-16T18:22:29.789Z
%8 2016-08-16
%R http://localhost/files/b2774695n
%X 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 predict outcomes with high
statistical likelihood.; Keywords: Enzyme activity modification, Flux capacity, Uncertainty,
Chance-constrained optimization.; Springer Open.
%[ 2018-10-11
%9 Text
%~ Tufts Digital Library
%W Institution