AI Article Synopsis
- The immune system operates through complex interactions between cells and molecules, and vaccination alters these networks to promote targeted immune responses.
- Advances in systems vaccinology have led to large datasets that examine genes involved in vaccinations, fueling the need for new methods to analyze this data.
- The proposed framework, Network Vaccinology, utilizes graph theory to uncover relationships among genes, proteins, and metabolites linked to immune responses, aiding in the development of more effective vaccines.
Article Abstract
The structure and function of the immune system is governed by complex networks of interactions between cells and molecular components. Vaccination perturbs these networks, triggering specific pathways to induce cellular and humoral immunity. Systems vaccinology studies have generated vast data sets describing the genes related to vaccination, motivating the use of new approaches to identify patterns within the data. Here, we describe a framework called Network Vaccinology to explore the structure and function of biological networks responsible for vaccine-induced immunity. We demonstrate how the principles of graph theory can be used to identify modules of genes, proteins, and metabolites that are associated with innate and adaptive immune responses. Network vaccinology can be used to assess specific and shared molecular mechanisms of different types of vaccines, adjuvants, and routes of administration to direct rational design of the next generation of vaccines.
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| http://dx.doi.org/10.1016/j.smim.2020.101420 | DOI Listing |
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