Studies

HSD11B1 was inhibited in human subcutaneous and omental adipose tissue, and the effect on oxygenated adrogen metabolism was studied.

Surface plots showing the computational analysis of combined HSD11B1/AKR1C3 ratios and HSD11B1 inhibition.

HSD11B1 was inhibited by CBX and the effect of the inhibition on Cortisone and 11KA4 conversion by HSD11B1/AKR1C3 incubations were measured.

HSD11B1 and AKR1C3 transfected cells were mixed at difefrent ratios and effects on cortisone conversion (Fig. 2B) and 11KT production (Fig. 2C) were measured and simulated.

This study includes the experimental data for model validation and the model predictions of that data set.

This study includes the experimental data for model validation and the model predictions of that data set.

One pot cascade - pathway analysis for the purified Caulinobacter crescentus Weimberg pathway enzymes. Effect of co-factor recycling, removal of XLA, and optimisation on Xylose to aKG is studied.

https://jjj.bio.vu.nl/models/experiments/shen2020_fig3a/simulate https://jjj.bio.vu.nl/models/experiments/shen2020_fig3b/simulate https://jjj.bio.vu.nl/models/experiments/shen2020_fig3c/simulate https://jjj.bio.vu.nl/models/experiments/shen2020_fig3d/simulate

Initial rate kinetics for the purified Caulinobacter crescentus Weimberg pathway enzymes, including substrate dependence, and product inhibition.

Progress curves for the purified Caulinobacter crescentus Weimberg pathway enzymes. Each reaction is followed up to completion and then the next enzyme in the pathway is added, i.e. XDH-XLA-XAD-KDXD and finally KGSADH

Cell free extract - pathway analysis for Caulinobacter crescentus Weimberg pathway enzymes. Effect of co-factor recycling, and Mn2+ on Xylose to aKG conversion is studied.

D Biphasic control of stem-cell expansion, where stem-cell expansion is low both at high and low concentrations of y. The system has a stable fixed point at the concentration of y where pr = 0.5 and an unstable fixed point at some lower concentration of y.

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig4d/simulate

C A mutated stem cell with a strong inactivation of the sensing of y has a growth advantage (differentiates less), and therefore, it invades the stem- cell population. As a result, both the stem-cell pool and the number of terminally differentiated cells increase.

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig4c/simulate

Mathematical simulation of a tamoxifen-induced conditional knock-in of a sixfold activating GCK mutant in beta cells. (C) The percentage of beta cells with mutated GCK increases to ~25% after 3 days, but then decreases and is eliminated after a few weeks. (D) Glucose levels initially decrease after the tamoxifen injection, but return to normal after a few weeks. Insets: Experimental results of Tornovsky-Babeay et al (2014).

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig2/simulate ...

C Trajectories of Z from different initial concentrations of cells (Z) (i) or y (ii) for the circuit of (B). The healthy concentration Z = ZST is reached regardless of initial concentration of Z, as long as it is nonzero, and regardless of the initial concentration of y.

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig1c/simulate

D An arrow marks the time when a mutant with a strong activation of the sensing of y arises (for the circuit depicted in B). This mutant has a selective advantage and takes over the population.

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig1d/simulate

G Trajectories of Z from different initial concentrations of Z (i) or y (ii) for the circuit depicted in (F). The healthy concentration Z = ZST is not reached for small values of Z (Z << ZST) or large values of y (y >> yUST).

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig1g/simulate

H The arrows mark the times when a mutant with a strong activation of the sensing of y arises (for the biphasic circuit depicted in F). This mutant has a selective disadvantage and is thus eliminated.

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig1h/simulate

C Numerical simulations of the RpoD6 wild-type network show a shoulder of expression trailing the main peak (red line). All the parameters describing the clock and SigC are as in Fig 4B, and only the threshold of activation of the rpoD6 promoter by the clock was modified. Numerical simulations of a SigC knock-out model (in which the terms representing the regulation of RpoD6 by SigC are set to zero) show only single-peaked oscillations (blue line). D The incoherent feedforward loop circuit that ...

Numerical simulations of the wild-type network show double peaks of expression (red line), and numerical simulations of a SigC knock-out model (in which the terms representing the regulation of PsbAI by SigC are set to zero) show only single-peaked oscillations (blue line)..

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/martins2016_fig4b/simulate

PGK-GAPDH reactions were studied in vitro at 30 and 70 using yeast or Sso enzymes

SED-ML: https://jjj.bio.vu.nl/models/experiments/kouril2017_fig4b/simulate https://jjj.bio.vu.nl/models/experiments/kouril2017_fig4c/simulate

PGK reaction at 30 C. Yeast PGK was incubated at 30 C, in the presence or absence of the ATP recycling system, and the conversion of 3 PG to BPG was followed. SED-ML simulations Fig. 1A: https://jjj.bio.vu.nl/models/experiments/kouril2017_fig1a/simulate

PGK reaction at 70C. Sulfolobus solfataricus PGK was incubated at 70C in presence and absence of an ATP recycling system. Changes in metabolite concentrations was followed via 31P NMR or enzymatic analyses.

SED-ML: https://jjj.bio.vu.nl/models/experiments/kouril2017_fig3b/simulate https://jjj.bio.vu.nl/models/experiments/kouril2017_fig3c/simulate https://jjj.bio.vu.nl/models/experiments/kouril2017_fig3d/simulate

BPG produced with yeast PGK was incubated at 70 C,upon which BPG rapidly dephosphorylates to 3PG. SED-ML: https://jjj.bio.vu.nl/models/experiments/kouril2017_fig2b/simulate