TY  - JOUR
A1  - Larhlimi, Abdelhalim
A1  - Basler, Georg
A1  - Grimbs, Sergio
A1  - Selbig, Joachim
A1  - Nikoloski, Zoran
T1  - Stoichiometric capacitance reveals the theoretical capabilities of metabolic networks
T2  - Bioinformatics
N2  - Motivation: Metabolic engineering aims at modulating the capabilities of metabolic networks by changing the activity of biochemical reactions. The existing constraint-based approaches for metabolic engineering have proven useful, but are limited only to reactions catalogued in various pathway databases.
 Results: We consider the alternative of designing synthetic strategies which can be used not only to characterize the maximum theoretically possible product yield but also to engineer networks with optimal conversion capability by using a suitable biochemically feasible reaction called 'stoichiometric capacitance'. In addition, we provide a theoretical solution for decomposing a given stoichiometric capacitance over a set of known enzymatic reactions. We determine the stoichiometric capacitance for genome-scale metabolic networks of 10 organisms from different kingdoms of life and examine its implications for the alterations in flux variability patterns. Our empirical findings suggest that the theoretical capacity of metabolic networks comes at a cost of dramatic system's changes.
Y1  - 2012
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/35644
SN  - 1367-4803
VL  - 28
IS  - 18
SP  - I502
EP  - I508
PB  - Oxford Univ. Press
CY  - Oxford
ER  -