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High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
Published on: March 3, 2015
An efficient method for the detection and elimination of systematic error in high-throughput screening
Vladimir Makarenkov1, Pablo Zentilli, Dmytro Kevorkov
1Department d'informatique, Université du Québec à Montreal, C.P.8888, s. Centre Ville, Montreal, QC, Canada. makarenkov.vladimir@uqam.ca
Bioinformatics (Oxford, England)
|April 28, 2007
Summary
A new well correction method improves high-throughput screening (HTS) data accuracy by minimizing systematic errors. This enhances hit selection in drug discovery, leading to more reliable results from compound screening.
Area of Science:
- Drug Discovery
- Bioinformatics
- Computational Biology
Background:
- High-throughput screening (HTS) is crucial for early-stage drug discovery, enabling rapid testing of numerous chemical compounds.
- Systematic errors in HTS data can significantly impact the accuracy of identifying active compounds (hit selection).
Purpose of the Study:
- To introduce a novel data correction method for HTS assays.
- To minimize the impact of systematic errors on hit selection.
- To improve the reliability of compound screening in drug discovery.
Main Methods:
- A new data correction technique, termed 'well correction', was developed.
- This method corrects measurement distributions within individual wells of HTS assays.
- The approach was validated using both simulated and experimental HTS data.
Main Results:
- The well correction method effectively reduces systematic errors in HTS data.
- This leads to more accurate hit selection compared to existing methods.
- The study demonstrates the practical advantages of the proposed correction technique.
Conclusions:
- The well correction method offers a significant improvement for HTS data analysis.
- Accurate data correction is essential for efficient and reliable drug discovery pipelines.
- This method enhances the precision of identifying potential drug candidates from large compound libraries.
