Alondra Vega: Week 4

Terminology

 * 1) The Michaelis-Menten equation describes the relationship between the rate of  a substrate conversion by an enzyme to the concentration of the substrate in the equation.  V is the rate of conversion, [S] is the substrate concentration and Km is the Michaelis constant.   Km approximates the affinity of enzyme for the substrate.
 * 2) The Lineweaver-Burk experiment shows a way of illustrating kinetic date.  The plot is produced by taking the reciprocal of the Michaelis-Menten equation.  It will usually produce a linear function y = mx + b.
 * 3)  A chemostat reaction deals with the flow rate into the system and the flow rate out of the system.  A mathematical model is used (a set of differential equations) to see the change in the steady state, or to find what the steady state is.
 * 4) Exponential growth (including exponential decay) occurs when the growth rate of a mathematical function is proportional to the function's current value.  It will produce a similar curve to ex when plotted.

Applying Michaelis-Menten Model

 * In was not sure what was being asked when working with this code. I was not sure what program I was supposed to use. I used the michaelis_menten, catalysis and catalysis-driver. I am not sure what the differences are between catalysis and the Lineweaver-Burke program, so I stayed with the program that we worked on last week, since i do not feel that we went into depth the other program.  I also do not know what the graphs are saying.  I feel that I would have been able to compare them better if they were not all in the same plot. I would have been able to see which belong to which k-1 value.  I know that there are settings to differentiate between the graphs, but I have not mastered those skills yet.  The graphs provided below show the graphs that the catalysis driver produces.
 * When k-1=0.
 * When k-1=1.
 * When k-1=5.

Estimating Michaelis-Menten Parameters

 * After working on excel with the Lineweaver-Burke technique with the given points, I found that Vmax was 0.031551 and K was 27.10932. Vmax is found was by taking the inverse of the y-intercept on the trendline that we added on the graph. the K value was found by taking the slope of the line and dividing it by the intercept.