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Book Sections Year : 2022

Network modeling methods for precision medicine


We discuss in this chapter several network modeling methods and their applicability to precision medicine. We review several network centrality methods (degree centrality, closeness centrality, eccentricity centrality, betweenness centrality, and eigenvector-based prestige) and two systems controlability methods (minimum dominating sets and network structural controllability). We demonstrate their applicability to precision medicine on three multiple myeloma patient disease networks. Each network consists of protein-protein interactions built around a specific patient’s mutated genes, around the targets of the drugs used in the standard of care in multiple myeloma, and around multiple myeloma-specific essential genes. For each network we demonstrate how the network methods we discuss can be used to identify personalized, targeted drug combinations uniquely suited to that patient.
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Dates and versions

hal-03921110 , version 1 (03-01-2023)



Elio Nushi, Victor-Bogdan Popescu, Jose-Angel Sanchez Martin, Sergiu Ivanov, Eugen Czeizler, et al.. Network modeling methods for precision medicine. Elisabetta De Maria. Systems Biology Modelling and Analysis: Formal Bioinformatics Methods and Tools, pp.363--423, 2022, 978-1-119-71658-7. ⟨10.1002/9781119716600.ch10⟩. ⟨hal-03921110⟩
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