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

Published on: July 18, 2013

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MorCVD: A Unified Database for Host-Pathogen Protein-Protein Interactions of Cardiovascular Diseases Related to

Nirupma Singh1, Venugopal Bhatia1, Shubham Singh2

  • 1Computational and Structural Biology Laboratory, Division of Biological Sciences and Engineering, Netaji Subhas University of Technology, Dwarka, New Delhi, 110078, India.

Scientific Reports
|March 13, 2019
PubMed

Insights

Microbe-induced cardiovascular diseases (CVDs) are understudied. The MorCVD database unifies host-pathogen interactions (HPIs) for 432 pathogens, aiding CVD and microbiology research.

Area of Science:

  • Microbiology
  • Cardiovascular Diseases
  • Bioinformatics

Background:

  • Microbe-induced cardiovascular diseases (CVDs) are a less-explored area of research.
  • Host-pathogen interactions (HPIs) relevant to CVD are scattered across multiple databases.
  • Understanding these interactions is crucial for developing targeted therapies.

Purpose of the Study:

  • To create a centralized, curated database of HPIs involved in microbe-induced CVDs.
  • To provide a user-friendly web application for accessing and analyzing this data.
  • To facilitate research at the intersection of CVD and microbiology.

Main Methods:

  • Compiled and curated HPI data from various sources.
  • Integrated 23,377 protein interactions involving 432 unique pathogens linked to CVD.
  • Developed a web interface with search, enrichment, and download functionalities.

Main Results:

  • The MorCVD database offers a unified resource for HPIs in 19 types of microbe-induced CVDs.
  • Data includes hyperlinked protein IDs, PubMed links, Gene Ontology records, drug targets, and interactor information.
  • The database supports searching by disease, protein ID, pathogen, or interaction detection method.

Conclusions:

  • MorCVD serves as a comprehensive, freely accessible resource for HPI data relevant to cardiovascular diseases.
  • It streamlines data retrieval for researchers in CVD and microbiology.
  • The database enhances the study of microbe-induced cardiovascular pathologies.

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