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1. Activity category legends on OpenData Browser


Best quality activities showing strong activity at all testing concentrations
High quality activities with curve class in 1 and 2, |efficacy| ≥ 50, and potency ≤ 10 µM
Low quality activities including shallow curves, single point activity, etc
Best quality activities showing strong activity at all testing concentrations in contraindicated assay
High quality activities with curve class in 1 and 2, |efficacy| ≥ 50, and potency ≤ 10 µM in contraindicated assay
Low quality activities including shallow curves and single point activity in contraindicated assay
Inactives
Untested

2. qHTS Curve Classification Criteria


Curve ClassDescriptionEfficacyR2Asymptotes
1*Complete curve (a)
Partial curve (b)
> 80% (-1.1)
≤ 80% (-1.2)
≥ 0.92
2Incomplete curve> 80% (-2.1)
< 80% (-2.2)
> 0.9 (a)
< 0.9 (b)
1
3Single pt activity>MinN/A1
4InactiveN/AN/A0
*AC50 derived from data.
AC50 extrapolated from data.
Min is > 3 SD from the mean activity of the sample field at the highest tested concentration.

Note: In addition there can be noisy curves: Class -1.3 ≥ 80% and r2 < 0.9 and Class -1.4 = min – 80% and r2 < 0.9. Analogously there can be Classes -2.3 and -2.4; Class 5 are unclassified curves.

Reference:
Quantitative high-throughput screening: A titration-based approach that efficiently identifies biological activities in large chemical libraries
James Inglese, Douglas S. Auld, Ajit Jadhav, Ronald L. Johnson, Anton Simeonov, Adam Yasgar, Wei Zheng, and Christopher P. Austin
PNAS August 1, 2006 103 (31) 11473-11478
Curve Class
-1.1
-1.2
Curve Class
-2.1
-2.2

Curve Class
-3
Curve Class
4
NCATS OpenData is licensed under a CC BY 4.0 license | 2020