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Related Experiment Videos

HTS quality control and data analysis: a process to maximize information from a high-throughput screen.

Ramesh Padmanabha1, Lynda Cook, James Gill

  • 1Lead Discovery and Profiling, Bristol-Myers Squibb Pharmaceutical Institute, Wallingford, CT 06492, USA. Ramesh.Padmanabha@bms.com

Combinatorial Chemistry & High Throughput Screening
|September 24, 2005
PubMed
Summary

Improvements in high-throughput screening (HTS) automation and informatics enhance quality control. This enables robust data mining of primary screening data, reducing drug discovery cycle times.

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Area of Science:

  • Drug discovery and development
  • Biotechnology
  • Pharmacology

Background:

  • High-throughput screening (HTS) is crucial for identifying drug candidates.
  • Historically, variability in HTS processes has limited data analysis.
  • Advancements in automation and informatics offer potential solutions.

Purpose of the Study:

  • To examine the impact of process improvements on HTS quality control.
  • To demonstrate the feasibility of data mining primary screening data.
  • To reduce cycle times in medicinal chemistry through enhanced HTS.

Main Methods:

  • Focus on quality control across all HTS stages, from compound management to hit/lead evaluation.
  • Leveraging infrastructure improvements in automation and informatics.

Related Experiment Videos

  • Implementing rigorous process and quality control measures.
  • Main Results:

    • Enhanced automation and informatics have improved HTS infrastructure.
    • Increased implementation of process and quality control throughout HTS.
    • Reduced variability in HTS processes leading to higher quality data.

    Conclusions:

    • Improving HTS quality control is essential for reliable primary screening data analysis.
    • Data mining of HTS data is feasible with enhanced quality control.
    • Optimized HTS processes can significantly shorten medicinal chemistry timelines.