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Updated: Jul 26, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
Annotated protein network analysis linking oral diseases
Mukesh Kumar Sharma1,2, Vivek Kumar Srivastav1, Chetan Kumar Joshi3
1Department of Biotechnology, Maharaj Vinayak Global University, Jaipur Rajasthan, India.
Abstract:
Oral cancer is becoming more common, and it threatens to be a serious worldwide medical issue. Hence, it is of interest to elucidate the networks between proteins and biologically active compounds, as well as their functional annotations, and cell signaling pathways. The online STRING software was used to create a molecular genetics interaction network named AZURIN on oral bacterial proteins. We also used the cystoscope software to identify 11 nodes and 16 edges with an average node order of 2.91. Thus, we document data on the interaction of protein networks with other proteins for identifying potential therapeutic drug candidates linked to oral disease.
Insights
Oral cancer is a growing global health concern. This study maps protein interactions in oral bacteria, identifying potential therapeutic targets for oral disease drug discovery.
Area of Science:
- Molecular biology
- Bioinformatics
- Oral microbiology
Background:
- Oral cancer is a significant and increasing global health issue.
- Understanding molecular interactions is crucial for identifying therapeutic targets.
- Elucidating protein networks and signaling pathways in oral bacteria is key.
Purpose of the Study:
- To construct a protein-protein interaction network for oral bacterial proteins.
- To identify potential therapeutic drug candidates for oral diseases.
- To analyze functional annotations and cell signaling pathways.
Main Methods:
- Utilized the STRING online software to build a molecular genetics interaction network.
- Employed Cystoscope software for network analysis, identifying nodes and edges.
- Analyzed network topology, including average node order.
Main Results:
- Developed the AZURIN molecular genetics interaction network for oral bacterial proteins.
- Identified 11 nodes and 16 edges within the constructed network.
- Characterized network properties, such as an average node order of 2.91.
Conclusions:
- The study provides valuable data on protein-protein interactions in oral bacteria.
- The identified network serves as a foundation for discovering novel therapeutic drug candidates.
- This research contributes to understanding oral disease mechanisms and potential interventions.
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