Hi Josh, yes there are different ways to calculate Km and Vmax for most of the enzyme plots. I've just included the most common or my preferred method in these videos.
From one set of values, as used in this video, you cannot calculate a standard deviation. You would require the experiment to be carried out in at least triplicate to be able to calculate the standard deviation of the mean. This video may help you th-cam.com/video/R_6pCVfiNR4/w-d-xo.html
This is for a Michaelis Menten plot, where the approximated Km is half the approximated Vmax. However as the M-M plot never truly plateaus the Vmax value is only ever an estimate and so Km is also estimated. Each of the different plots have their own strengths and weaknesses
How did you work out your backwards forecast?
I looked at the data visually, you can also work out from the equation of the line setting the x-intercept to zero
Thank you so much 😭
You’re welcome
another way you can work out the Km is the gradient (slope) to the power of -1 multiplied by the y intercept
thanks for the video by the way very helpful in checking if I was right
Hi Josh, yes there are different ways to calculate Km and Vmax for most of the enzyme plots. I've just included the most common or my preferred method in these videos.
but how to get the standard deviation of Km?
From one set of values, as used in this video, you cannot calculate a standard deviation. You would require the experiment to be carried out in at least triplicate to be able to calculate the standard deviation of the mean. This video may help you th-cam.com/video/R_6pCVfiNR4/w-d-xo.html
i thought Km was half vmax
This is for a Michaelis Menten plot, where the approximated Km is half the approximated Vmax. However as the M-M plot never truly plateaus the Vmax value is only ever an estimate and so Km is also estimated. Each of the different plots have their own strengths and weaknesses