TY - JOUR
T1 - Testing biochemistry revisited: how in viov metabolism can be understood from in vitro enzyme kinetics.
AU - van Eunen, K.
AU - Kiewiet, J.A.L.
AU - Westerhoff, H.V.
AU - Bakker, B.M.
PY - 2012
Y1 - 2012
N2 - A decade ago, a team of biochemists including two of us, modeled yeast glycolysis and showed that one of the most studied biochemical pathways could not be quite understood in terms of the kinetic properties of the constituent enzymes as measured in cell extract. Moreover, when the same model was later applied to different experimental steady-state conditions, it often exhibited unrestrained metabolite accumulation. Here we resolve this issue by showing that the results of such ab initio modeling are improved substantially by (i) including appropriate allosteric regulation and (ii) measuring the enzyme kinetic parameters under conditions that resemble the intracellular environment. The following modifications proved crucial: (i) implementation of allosteric regulation of hexokinase and pyruvate kinase, (ii) implementation of V
AB - A decade ago, a team of biochemists including two of us, modeled yeast glycolysis and showed that one of the most studied biochemical pathways could not be quite understood in terms of the kinetic properties of the constituent enzymes as measured in cell extract. Moreover, when the same model was later applied to different experimental steady-state conditions, it often exhibited unrestrained metabolite accumulation. Here we resolve this issue by showing that the results of such ab initio modeling are improved substantially by (i) including appropriate allosteric regulation and (ii) measuring the enzyme kinetic parameters under conditions that resemble the intracellular environment. The following modifications proved crucial: (i) implementation of allosteric regulation of hexokinase and pyruvate kinase, (ii) implementation of V
UR - https://www.scopus.com/pages/publications/84861131751
UR - https://www.scopus.com/inward/citedby.url?scp=84861131751&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1002483
DO - 10.1371/journal.pcbi.1002483
M3 - Article
SN - 1553-734X
VL - 8
JO - PLoS Computational Biology
JF - PLoS Computational Biology
M1 - e1002483
ER -