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High throughput screening informatics.

Xuefeng Bruce Ling1

  • 1Biotechnology Core, Lucile Packard Children's Hospital, Stanford Medical Center, Stanford University, CA, USA. xuefeng_ling@yahoo.com

Combinatorial Chemistry & High Throughput Screening
|March 14, 2008
PubMed
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High throughput screening (HTS) accelerates drug discovery by analyzing millions of compounds. Effective informatics platforms are crucial for managing HTS data and driving lead discovery decisions.

Area of Science:

  • Drug Discovery and Development
  • Bioinformatics and Computational Biology

Background:

  • High throughput screening (HTS) is integral to modern drug discovery, utilizing robotics and automation to screen vast compound libraries.
  • The increasing volume and complexity of HTS data necessitate advanced informatics solutions for efficient analysis and decision-making.

Purpose of the Study:

  • To review key elements of HTS operations from a data analysis and handling perspective.
  • To outline essential data-related activities supporting HTS processes.
  • To define desirable properties for HTS enabling software and provide procurement advice.

Main Methods:

  • Review of HTS operations and data management strategies.
  • Analysis of data handling requirements in HTS workflows.
  • Identification of essential features for HTS informatics platforms.

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Main Results:

  • HTS generates large, complex datasets requiring robust scientific computing and informatics platforms.
  • Effective HTS data mining and analysis are critical for identifying lead compounds.
  • Specific software capabilities are needed to support complex HTS workflows and decision-making.

Conclusions:

  • Strategic implementation of informatics platforms is essential for maximizing the value of HTS in drug discovery.
  • Data analysis and handling are pivotal components of successful HTS operations.
  • Informed system procurement is vital for organizations undertaking large-scale screening efforts.