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Related Concept Videos

Drug Discovery: Overview01:26

Drug Discovery: Overview

Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

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Related Experiment Video

Updated: May 13, 2026

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
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High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

Published on: March 3, 2015

Computational methods to support high-content screening: from compound selection and data analysis to postulating

Anne Kümmel1, Daniela Gabriel, Christian N Parker

  • 1Center for Proteomic Chemistry, Novartis Institutes for BioMedical Research, Basel, Switzerland +41 61 32 44936 ; +41 61 3242870 ; anne.kuemmel@novartis.com.

Expert Opinion on Drug Discovery
|March 14, 2013
PubMed
Summary
This summary is machine-generated.

Computational approaches enhance high-content screening (HCS) from compound selection to data analysis. Further development and standardization are needed to fully utilize rich HCS data for drug discovery.

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High Content Screening in Neurodegenerative Diseases
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High Content Screening in Neurodegenerative Diseases

Published on: January 6, 2012

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Last Updated: May 13, 2026

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
09:44

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Published on: March 3, 2015

High Content Screening in Neurodegenerative Diseases
13:32

High Content Screening in Neurodegenerative Diseases

Published on: January 6, 2012

Area of Science:

  • Computational biology
  • Drug discovery
  • High-content screening

Background:

  • Computational support is crucial for high-content screening (HCS) across multiple stages.
  • These stages include compound selection, image and data analysis, hit identification, and mechanism of action studies.

Purpose of the Study:

  • To describe computational approaches for improving HCS.
  • To address challenges in compound selection, image analysis, and data processing.
  • To outline future expectations for the field.

Main Methods:

  • Review of computational strategies for HCS.
  • Discussion of current challenges in HCS data analysis.
  • Exploration of algorithms for HCS data processing and exploration.

Main Results:

  • Current HCS data analysis lacks standardized methods for correction, normalization, and visualization.
  • The full potential of information-rich HCS datasets is not yet realized.

Conclusions:

  • A comprehensive comparison and evaluation of different HCS analysis tools are necessary.
  • Standardization is key to overcoming current limitations in HCS data exploitation.
  • Improved computational methods will enhance the efficiency and impact of HCS in research.