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Summary of the Kirk PfATP4 data obtained Nov 2016 #477

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edwintse opened this issue Jan 27, 2017 · 9 comments
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Summary of the Kirk PfATP4 data obtained Nov 2016 #477

edwintse opened this issue Jan 27, 2017 · 9 comments
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@edwintse
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edwintse commented Jan 27, 2017

In early Nov 2016, the set of resynthesised Frontrunner compounds (#400) and a new set of Series 4 compounds (#420) were taken to the Kirk lab at the ANU to be tested in their PfATP4 assay. The compounds were tested in the assays measuring Na+ concentration (SBFI) and also pH (BCECF). Compounds were tested at either 1 μM, 5 μM or both concentrations.

Each part of the Triazolopyrazine compound (Left chain, Right chain, Pyridine, Triazole) corresponds to a different assay and is colour coded according to the level of activity. The text below each compound refers to the blood stage potency and is colour coded in the same way in order to easily see any correlation between the assays.

syngene-kirk


Below is the image of the 3 outliers that don't show correlation between the assays. These compounds are either active in the SBFI assay but inactive in vitro or inactive in the SBFI but active in vitro.

untitled wiley-28

Raw chemdraw file => Syngene-Kirk.zip

@mattodd
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mattodd commented Feb 15, 2017

Interesting visualisation, @edwintse . So the text below each structure relates to blood stage potency? This allows an easy correlation between assay and potency, and to ID any outsiders. But then does the above image need updating, given that we have such values for the structures on the left of the diagram?

...and the legend (in the box) - the arrows and the text and the circles - they need to be black, right? The colours show potency, but the location on the molecule refers to which assay? i.e. the northeast circle and its text should be black in the legend, but then coloured according to the outcome of that assay?

@edwintse
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Yes @mattodd, the text colour relates to the blood stage potency. I'll update the image with the new data and legend.

@mattodd
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mattodd commented Feb 22, 2017

OK, great @edwintse . So this way of presenting the data rather quickly shows:

  1. Most compounds' activity tracks well between potency-vs-parasite and activity in the Kirk assay. Green goes with green, red with red. This is what we expected.

  2. BUT there are a few compounds where that correlation breaks down, where there might be interesting implications for the predictive model COMPETITION: A Predictive Model For Series Four #421 i.e. those compounds where there is a mixture of red and green. Check out MMV670936 for example. Potent vs parasite but inactive in the assay?

@MedChemProf
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@edwintse @mattodd Sorry, but I could do with a more thorough explanation of the visualization. A little more discussion of the coding would help me out a lot.

@edwintse
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@MedChemProf Each of the 4 parts of the compound represent the results obtained from the two assays at different concentrations.

  • Green indicates that the particular compound showed a clear increase in [Na+]/increase in pH at 1 or 5 μM. This indicates that the compound is targeting PfATP4.
  • Orange indicates a moderate increase in [Na+] and pH.
  • Red indicates no change in [Na+] and pH. This suggests the compound doesn't target PfATP4.

The colour of the text below the compounds indicates the in vitro potency of the compound from the recent Dundee data set here and here.

  • Green indicates <1μM potency.
  • Orange indicates >1μM to ~5μM potency.
  • Red indicates ~10μM and above potency.

For the most part there is correlation between the Kirk assays and the level of in vitro potency, but there are a couple of compounds where this is not the case.

Hope this helps.

@drc007
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drc007 commented Feb 23, 2017

Do we have a numerical value for activity at PfATP4? e.g. IC50?

@edwintse
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@drc007 Unfortunately not for this run. We only have values for [Na+] and pH which were run against the +ve and -ve controls (KAE609 and DMSO respectively).

@mattodd
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mattodd commented Feb 24, 2017

Thanks for all the clarification on this @edwintse . It's a good point @drc007 - we have to be careful about the lack of granularity here, in that the highlighted three compounds may just be sitting on a borderline we have defined in what is otherwise a broad spectrum of activity. If they are genuine outliers, then they may have significance for refining the predictive model. If there are no objections I might ask Kiaran, Adele and Adelaide if they could re-test these three compounds alongside our next batch, to verify the activities here.

@edwintse
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Image added to Wiki section here.

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