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A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
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Molecular networking in infectious disease models.

Morgan B Harris1, Mahbobeh Lesani2, Zongyuan Liu1

  • 1Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, United States; Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, United States.

Methods in Enzymology
|February 16, 2022
PubMed
Summary
This summary is machine-generated.

Metabolomics reveals enzyme activity in infectious diseases. Molecular networking aids in identifying infection-specific metabolites and understanding their roles in disease progression.

Keywords:
Global Natural Product Social Molecular Networking (GNPS)Infectious diseasesMS2Mass spectrometryMetabolomicsMolecular networking

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Area of Science:

  • Biochemistry and Molecular Biology
  • Infectious Diseases
  • Systems Biology

Background:

  • Small molecule metabolites are key products of enzymatic reactions, offering insights into enzyme activity across multiple biological levels.
  • Metabolites play a crucial role in infectious diseases by influencing pathogen nutrient availability, host immune responses, and overall disease tolerance.
  • Analyzing metabolomics data presents challenges, particularly in accurate metabolite annotation.

Purpose of the Study:

  • To explore the application of molecular networking in analyzing metabolomics data within the context of infectious diseases.
  • To highlight the utility of molecular networking in extending metabolite annotations beyond current databases.
  • To identify infection-induced chemical changes using molecular networking approaches.

Main Methods:

  • Utilizing metabolomics to study small molecule metabolites and their relationship to enzyme activity.
  • Applying molecular networking as a strategy to enhance metabolite annotation and discover novel compounds.
  • Focusing on the specific considerations for applying molecular networking to infectious disease systems.

Main Results:

  • Metabolomics provides a comprehensive view of biological systems by integrating various molecular levels.
  • Molecular networking offers a powerful approach to overcome limitations in metabolite annotation.
  • This technique facilitates the identification of infection-specific metabolic alterations.

Conclusions:

  • Metabolomics, particularly when enhanced by molecular networking, is a valuable tool for understanding infectious diseases.
  • Molecular networking extends the discovery of metabolites and provides deeper insights into host-pathogen interactions.
  • The discussed applications offer a framework for leveraging these techniques in infectious disease research.