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Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
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MScreen: an integrated compound management and high-throughput screening data storage and analysis system.

Renju T Jacob1, Martha J Larsen, Scott D Larsen

  • 1Center for Chemical Genomics, Life Sciences Institute, University of Michigan, Ann Arbor, MI 48109, USA. renjutj@umich.edu

Journal of Biomolecular Screening
|June 19, 2012
PubMed
Summary
This summary is machine-generated.

MScreen is an open-source application designed to manage high-throughput screening (HTS) data, including chemical libraries and siRNA. It facilitates efficient data handling and analysis for academic researchers, improving the identification of potential drug candidates and experimental tools.

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Last Updated: May 21, 2026

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Drug Discovery

Background:

  • High-throughput screening (HTS) is crucial for identifying drug candidates and biological probes.
  • Managing the vast data generated by HTS presents significant challenges in academic research.
  • Existing tools often lack comprehensive features for both chemical and siRNA screening data.

Purpose of the Study:

  • To introduce MScreen, a web-based, open-source cheminformatics application.
  • To provide a solution for managing chemical libraries and siRNA screening data.
  • To facilitate efficient HTS data handling, analysis, and collaboration in academic settings.

Main Methods:

  • MScreen offers a web-based platform for chemical library and siRNA plate management.
  • It supports primary HTS and dose-response data handling, including structure search.
  • Features include automated dose-response fitting, quality control, and user/target/assay administration.

Main Results:

  • MScreen enables secure or open sharing of project data for collaborative analysis.
  • Unique features include specialized plate creation and formatting for compounds, mixtures, and siRNAs.
  • Automated data fitting and QC streamline the evaluation of screening results.

Conclusions:

  • MScreen provides an effective solution for HTS data management and analysis in academia.
  • The application facilitates efficient viewing and evaluation of screening data for follow-up studies.
  • MScreen supports the identification of compounds with desired selectivity and aids in experimental tool discovery.