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Related Concept Videos

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 Content Screening in Neurodegenerative Diseases
13:32

High Content Screening in Neurodegenerative Diseases

Published on: January 6, 2012

Network medicine and high throughput screening.

Robert E Smith1, Kevin Tran, Ralph H Vocque

  • 1Total Diet and Pesticide Research Center, U.S. Food and Drug Administration, Lenexa, KS 66214, USA. robert.smith@fda.hhs.gov

Current Drug Discovery Technologies
|March 26, 2013
PubMed
Summary
This summary is machine-generated.

Network medicine combined with high throughput screening (HTS) offers a new drug discovery approach. This fusion integrates biological systems with advanced assays to develop effective drugs with fewer side effects.

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Area of Science:

  • Systems Biology
  • Pharmacology
  • Computational Biology

Background:

  • Modern drug discovery is evolving, integrating traditional and modern medicine.
  • A new paradigm fuses phenotypic and targeted approaches, and systems with reductionist thinking.
  • Network medicine and high throughput screening (HTS) exemplify this fusion, combining physiologically relevant biological systems with robust assay technologies.

Purpose of the Study:

  • To describe the principles of network theory and network medicine tools.
  • To discuss scale-free networks and their emergent properties in biological systems.
  • To highlight the application of modern HTS and high content screening (HCS) in complex biological networks.

Main Methods:

  • Utilizing network theory and network medicine principles.
  • Constructing databases from multi-omics data (metabolome, genome, transcriptome, proteome, etc.).
  • Employing high throughput screening (HTS) and high content screening (HCS) to analyze biological network interactions and perturbations.

Main Results:

  • Network medicine provides tools to understand complex biological systems as networks.
  • HTS and HCS enable the examination of interactions within the human biological network.
  • Allo-network drugs can exert effects beyond single targets, impacting cellular communication.

Conclusions:

  • This integrated approach reveals hidden connections within biological networks.
  • The goal is to develop novel drugs with minimal side effects.
  • This strategy aims to create effective treatments for challenging conditions like multi-drug resistant cancers and bacteria.