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All Drug Discovery questions

Question 20 of 20 Advanced Interpretation

What would you check before trusting a dose-response curve from a screen?

Short answer

Check that the curve has a defined top and bottom, a Hill slope near 1, points spanning the transition, and controls on the same plate. Then check the compound: its identity, purity, solubility at the top concentration and its own signal in the detection channel.

Why

A fitted IC50 is only meaningful if the data constrain it. Without a plateau at the top, the maximal effect is extrapolated and the potency is unreliable. With only one or two points on the slope, small errors move the fit a long way.

A Hill slope well above 1 suggests aggregation, precipitation or cooperative artifacts rather than simple binding, and Feng and colleagues built screens for exactly this behavior. A slope below 1 can mean a mixture or partial activity. Precipitation at the top concentration flattens a curve and produces a false maximum.

Eastwood and colleagues' minimum significant ratio matters here too, since it tells you how large a potency difference the assay can actually resolve, and a difference inside that ratio should not be reported as a difference. Compound integrity is part of the check. Libraries contain samples that are the wrong compound, degraded, or at the wrong concentration, so confirming identity and purity by mass spectrometry for anything important is routine in careful groups.

Finally the curve should be reproduced from an independent powder sample and dilution series, because a single dilution error propagates through every point.

A strong answer covers

  • Defined top and bottom plateaus with points across the transition
  • Hill slope near 1, with steep slopes flagged
  • Solubility and precipitation at the top concentration
  • Compound identity and purity confirmed
  • Minimum significant ratio bounds what counts as a difference

Common mistakes

  • Reporting an IC50 from a curve that never reaches a plateau
  • Ignoring a steep Hill slope because the potency is attractive
  • Treating two potency values inside the assay's resolution as different