Bulletin of the American Physical Society
APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020; Denver, Colorado
Session F24: Noise-Driven Dynamics in Far-From-Equilibrium Systems I
8:00 AM–11:00 AM,
Tuesday, March 3, 2020
Sponsoring Units: GSNP DBIO
Chair: Stephen Teitsworth, Duke University
Abstract: F24.00004 : Large scale kinetic modeling of metabolic networks*
(Shanghai Jiaotong University)
While the biochemistry of metabolism in many organisms is well studied, details of the metabolic dynamics are yet fully explored.
Unless the parameters of a vast number of enzyme-catalyzed reactions happened to fall into very special ranges, a kinetic model on a large metabolic network would fail to reach a steady state.
Acquiring adequate in vivo kinetic parameters experimentally has always been an obstacle.
A stable metabolic network can be systematically established via a biologically/evolutionally motivated regulatory process.
May be understood via a landscape description of metabolism as a stochastic system, which draws enzymatic parameters towards stable phase spaces.
Allows explicit thermodynamics constraints on concentrations and optimal balance of efficiency vs viability (i.e. stability/fitness/robustness).
The strategy was applied sucessfully to the central metabolism of Methylobacterium extorquens AM1 and the secondary metabolism and metabolic switches in Streptomyces xiamenensis 318.
*The work was partially supported by the Natural Science Foundation of China No. 91329301 and No. 91529306 (PA), No. 81273404 and No. 81473105 (MJX).
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