Network modeling methods for precision medicine
Published in Systems Biology Modelling and Analysis: Formal Bioinformatics Methods and Tools, (upcoming), 2021
Recommended citation: Elio Nushi, Victor-Bogdan Popescu, Jose Angel Sanchez Martin, Sergiu Ivanov, Eugen Czeizler, Ion Petre. (2021). "Network modeling methods for precision medicine" Systems Biology Modelling and Analysis: Formal Bioinformatics Methods and Tools, 2021. https://arxiv.org/abs/2104.09206
We discuss in this survey 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 controllability 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.
Recommended citation: Elio Nushi, Victor-Bogdan Popescu, Jose Angel Sanchez Martin, Sergiu Ivanov, Eugen Czeizler, Ion Petre. “Network modeling methods for precision medicine” Systems Biology Modelling and Analysis: Formal Bioinformatics Methods and Tools, 2021 (upcoming).