No PAINS, no gains: why over-reliance on computational PAINS filters could be a mistake

Using computational filters to exclude so-called Pan-Assay Interference Compounds, or PAINS, from high throughput screening campaigns has become increasingly common in drug discovery circles. But while the industry is right to be vigilant about ‘frequent hitters’, (compounds that show misleading readouts in multiple biological assays) new findings add to growing concern that we blindly follow PAINS filters at our peril.

Download your copy of our article by our expert Serge Parel which discusses -

• Pan-Assay Interference Compounds
• High Throughput Screening
• Hit Identification
• False positives
• Computational filters