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Updated: Oct 3, 2025
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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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ChikvInt: a Chikungunya virus-host protein-protein interaction database.
M Kusari1, L Dey2, A Mukhopadhyay1
1Department of Computer Science & Engineering, University of Kalyani, Kalyani, India.
Letters in Applied Microbiology
|February 17, 2022
Summary
Chikungunya virus disease (ChikvD) causes significant global DALYs. A new database, ChikvInt, catalogs Chikungunya virus-human protein-protein interactions to aid ChikvD research and vaccine development.
Area of Science:
- Virology
- Immunology
- Bioinformatics
Background:
- Chikungunya virus (Chikv) is a rapidly mutating pathogen responsible for Chikungunya virus disease (ChikvD), a significant cause of global disability-adjusted life years (DALYs).
- Outbreaks are prevalent in tropical regions, and understanding viral-host interactions is crucial for disease management.
- Existing research has identified key protein-protein interactions (PPIs) between Chikv and the human host, but this data is fragmented.
Purpose of the Study:
- To develop a centralized, comprehensive database of Chikungunya virus-human protein-protein interactions (PPIs).
- To facilitate research into ChikvD pathogenesis and accelerate the development of vaccines and therapeutics.
Main Methods:
- Data compilation from experimental studies identifying Chikv-human PPIs.
- Development of a user-friendly online database, ChikvInt, to store and present interaction data.
Main Results:
- The ChikvInt database was successfully created, cataloging 109 experimentally identified Chikv-human PPIs.
- The database provides a valuable resource for researchers studying Chikungunya virus.
Conclusions:
- ChikvInt serves as a critical resource for advancing the understanding of ChikvD pathogenesis.
- This database will support future research efforts, including the development of novel Chikungunya virus vaccines and treatments.
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