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Related Concept Videos

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The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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Mechanism-based disease similarity.

Mehdi B Hamaneh1, Yi-Kuo Yu1

  • 1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.

Journal of Rare Diseases Research & Treatment
|March 12, 2019
PubMed
Summary
This summary is machine-generated.

Researchers are developing new ways to measure how similar diseases are based on their molecular mechanisms. This helps find treatments for rare diseases by linking them to well-understood conditions.

Keywords:
Disease-disease similarityDisease-gene associationsHuman disease networkProtein-protein interaction networkgene expression datagene-gene association network

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Area of Science:

  • Biomedical Informatics
  • Computational Biology
  • Genomics

Background:

  • Several methods have been developed to compute mechanism-based disease-disease similarity scores.
  • These methods associate biomolecules (genes, proteins, chemicals) with diseases and measure set similarity.

Purpose of the Study:

  • To review recently developed methods for computing mechanism-based disease-disease similarities.
  • To highlight the practical importance of these methods for treatment discovery.

Main Methods:

  • Association of biomolecules with diseases.
  • Definition of similarity measures between disease-associated biomolecule sets.

Main Results:

  • Discusses various approaches for calculating disease similarity based on molecular mechanisms.
  • Highlights the potential for identifying shared causes and treatments.

Conclusions:

  • Mechanism-based disease similarity is crucial for inferring treatments for rare or poorly understood diseases.
  • High similarity scores can guide therapeutic strategies by linking to known disease treatments.