Quantitative assessment of thermodynamic constraints on the solution space of genome-scale metabolic models.

ABSTRACT: Constraint-based methods provide powerful computational techniques to allow understanding and prediction of cellular behavior. These methods rely on physiochemical constraints to eliminate infeasible behaviors from the space of available behaviors. One such constraint is thermodynamic feasibility, the requirement that intracellular flux distributions obey the laws of thermodynamics. The past decade has seen several constraint-based methods that interpret this constraint in different ways, including those that are limited to small networks, rely on predefined reaction directions, and/or neglect the relationship between reaction free energies and metabolite concentrations. In this work, we utilize one such approach, thermodynamics-based metabolic flux analysis (TMFA), to make genome-scale, q

SUBMITTER: Hamilton JJ 

PROVIDER: S-EPMC3714879 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature