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Related Concept Videos

Colonisation of Pathogens01:25

Colonisation of Pathogens

Pathogen colonization of host tissues is a critical step in the development of infectious diseases. Various pathogenic microorganisms, including bacteria, fungi, viruses, and protozoa, have evolved complex strategies to attach to, invade, and persist within host environments. These mechanisms enable pathogens to establish infections, evade immune responses, and resist antimicrobial treatments.Attachment to Host CellsIn bacteria, colonization typically begins with adherence to host epithelial...
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Parasitism is a form of microbial interaction in which parasitic microbes exploit a host organism for nutrients and shelter, often at the host's expense. Unlike mutualistic relationships, where both organisms benefit, parasitism benefits only the parasite and harms the host.Classification of ParasitesMicrobial parasites are broadly classified based on their location relative to the host.Ectoparasites remain on the host’s surface, such as the skin or outer tissues, drawing nutrients...
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Generation of a Bovine Primary Enteroid-Derived Two-Dimensional Monolayer Culture System for Applications in Translational Biomedical Research
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Progress in computational studies of host-pathogen interactions.

Hufeng Zhou1, Jingjing Jin, Limsoon Wong

  • 1NUS Graduate School for Integrative Sciences & Engineering, National University of Singapore, Singapore 117456, Singapore. zhouhufeng@nus.edu.sg

Journal of Bioinformatics and Computational Biology
|April 23, 2013
PubMed
Summary
This summary is machine-generated.

This review summarizes computational studies on host-pathogen interactions, covering protein-protein interaction analysis, fundamental principles, and available tools for disease research.

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Last Updated: May 12, 2026

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A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

Area of Science:

  • Computational biology
  • Infectious disease research
  • Bioinformatics

Background:

  • Host-pathogen interactions are crucial for understanding and combating infectious diseases.
  • Computational approaches are increasingly vital for analyzing these complex interactions.
  • Numerous studies have explored host-pathogen interactions using computational methods.

Purpose of the Study:

  • To systematically review and synthesize recent computational studies on host-pathogen interactions.
  • To compare and discuss methodologies and findings in the field.
  • To highlight key resources for data analysis and research.

Main Methods:

  • Literature review of computational studies on host-pathogen interactions.
  • Categorization of studies based on focus: prediction, analysis, principles, and tools.
  • Comparative analysis of different computational approaches and their outcomes.

Main Results:

  • Detailed summary of computational methods for predicting and analyzing host-pathogen protein-protein interactions.
  • Elucidation of fundamental biological principles derived from computational analyses of host-pathogen interactions.
  • Overview and comparison of existing databases and software tools for host-pathogen interaction data.

Conclusions:

  • Computational studies offer powerful insights into host-pathogen interactions, aiding disease understanding.
  • Advancements in prediction, analysis, and data resources facilitate further research.
  • This review provides a valuable resource for researchers in infectious disease and computational biology.