Premium
Assessment of effects of experimental imprecision on optimized biochemical systems
Author(s) -
Voit Eberhard O.,
Del Signore Mario
Publication year - 2001
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.1135
Subject(s) - metabolite , monte carlo method , yield (engineering) , biological system , constraint (computer aided design) , logarithm , aspergillus niger , chemistry , computational biology , biochemical engineering , biology , biochemistry , mathematics , statistics , physics , engineering , thermodynamics , mathematical analysis , geometry
Metabolic pathways may be optimized with S‐system models that prescribe profiles of control variables leading to optimal output while keeping metabolites and enzyme activities within predefined ranges. Monte Carlo simulations show how much the yield and the corresponding metabolite concentrations would be affected by inaccuracies in the experimental implementation of the prescribed profiles. For a recent model of citric acid production in Aspergillus niger, the yield is roughly normally distributed, whereas the distributions of metabolite concentrations differ greatly in shape and statistical characteristics. Even moderate inaccuracies may lead to constraint violations, which appear to be correlated with high logarithmic gains. © 2001 John Wiley & Sons, Inc. Biotechnol Bioeng 74: 443–448, 2001.