= 1 Simple Kinetic Modelling in ScrumPy = [[AccliPhot/WorkshopTwo/Tue_3|See notes from this pms lecture.]] == 1.0 Preparation == 1. Create a directory in your home area called "Practical_1" {{{ $ mkdir Practical_1 }}} 1. cd into this and create 3 more directories: "Revers", "Irrev", and "Cycle" {{{ $ cd Practical_1 $ mkdir Revers Irrev Cycle }}} == 1.1 Steady-States with Reversible Kinetics == 1. Download the [[http://mudsharkstatic.brookes.ac.uk/AccliPhot/Workshop2/Models/TwoReacRever.spy|TwoReacRever.spy]] model (right click for saving) and put it in the "Revers" directory. 1. cd into the Revers directory, launch [[http://mudshark.brookes.ac.uk/ScrumPy|ScrumPy]] and load the model. 1. Identify the kinetics, Parameter and initial value assignments. 1. On the basis of the network structure, what predictions can you make about relationships of steady-state fluxes ? 1. Investigate the effect of varying the Vmax value of the first reaction, e.g. . {{{#!python >>> results = m.AddStatMonitor() >>> for n in range(20): m["Vmax1"] += 1 m.FindSS() >>> results.SetPlotX("Vmax1") >>> results.AddToPlot("R1") }}} 1. Repeat with some other parameters that could be tested in the lab - e.g. change some consentrations, calculate values of the external metabolites that will result in no steady-state flux. == 1.2 Steady-States with Irreversible Kinetics == 1. Download the [[http://mudsharkstatic.brookes.ac.uk/AccliPhot/Workshop2/Models/TwoReacIrrev.spy|TwoReacIrrev.spy]] model and put it in the "Irrevs" directory. 1. Repeat the investigation in 1.1 on this model. 1. How many results are in the data set ? 1. What are the smilarities and differences in behaviour ? 1. What conclusions can you draw ? == 1.3 Steady-States of a Moiety Conserved Cycle == 1. Download the [[http://mudsharkstatic.brookes.ac.uk/AccliPhot/Workshop2/Models/SimpleCycle.spy|SimpleCycle.spy]] model and put it in the "Cycle" directory. 1. Proceed as 2.1 (but this time you need to vary the concentration of the external metabolite, x_A). 1. Now investigate the effect of varying the conserved total (hint: use the parameter 'CSUM_NADH'). 1. Now break the conservation relationship and repeat the first part of 2.3 1. What conclusions can you draw ?