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Looking at COVID-19 from a Systems Biology Perspective
Emily Samuela Turilli1, Marta Lualdi1, Mauro Fasano1
1Department of Science and High Technology, University of Insubria, I-21052 Busto Arsizio, Italy.
Biomolecules
|February 25, 2022
Summary
Network medicine and systems biology offer multifactorial strategies to understand COVID-19 complexity. These approaches, using proteomics and AI, identify virus-host interactions, disease classifiers, and potential drug repurposing targets for SARS-CoV-2.
Area of Science:
- Virology
- Systems Biology
- Network Medicine
- Artificial Intelligence
Background:
- The SARS-CoV-2 pandemic necessitated rapid scientific solutions for COVID-19.
- COVID-19's complex clinical presentation requires multifactorial approaches.
- Network medicine provides a framework for studying complex diseases like COVID-19.
Purpose of the Study:
- To review systems biology approaches for understanding COVID-19 pathobiology.
- To explore virus-human host interactions using network medicine.
- To highlight the role of AI in identifying therapeutic targets and drug repurposing for COVID-19.
Main Methods:
- Analysis of proteomics and interactomics data.
- Construction and analysis of biological networks.
- Application of systems biology principles.
- Integration of artificial intelligence tools.
Main Results:
- Identification of key pathways in virus-human host interactions.
- Development of network-based disease classifiers for COVID-19.
- Discovery of potential druggable targets through network analysis.
- AI-driven identification of candidates for drug repurposing.
Conclusions:
- Systems biology and network medicine are crucial for dissecting COVID-19 complexity.
- Proteomics, interactomics, and AI accelerate the understanding of viral pathogenesis.
- These integrated approaches facilitate the development of novel therapeutic strategies and diagnostics for COVID-19.
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