title: Networks and games for precision medicine.
abstract: Recent advances in omics technologies provide the leverage for the emergence of precision medicine that aims at personalizing therapy to patient. In this undertaking, computational methods play a central role for assisting physicians in their clinical decision-making by combining data analysis and systems biology modelling. Complex diseases such as cancer or diabetes arise from the intricate interplay of various biological molecules. Therefore, assessing drug efficiency requires to study the effects of elementary perturbations caused by diseases on relevant biological networks. In this paper, we propose a computational framework called Network-Action Game applied to best drug selection problem combining Game Theory and discrete models of dynamics (Boolean networks). Decision-making is modelled using Game Theory that defines the process of drug selection among alternative possibilities, while Boolean networks are used to model the effects of the interplay between disease and drugs actions on the patient's molecular system. The actions/strategies of disease and drugs are focused on arc alterations of the interactome. The efficiency of this framework has been evaluated for drug prediction on a model of breast cancer signalling.
authors.affiliation: IBISC Laboratory, Evry Val d'Essonne University, Evry, France. Electronic address: celia.biane@ibisc.univ-evry.fr.
authors.forename: Célia
authors.initials: C
authors.lastname: Biane
authors.affiliation: IBISC Laboratory, Evry Val d'Essonne University, Evry, France. Electronic address: franck.delaplace@ibisc.univ-evry.fr.
authors.forename: Franck
authors.initials: F
authors.lastname: Delaplace
authors.affiliation: IBISC Laboratory, Evry Val d'Essonne University, Evry, France. Electronic address: hanna.klaudel@ibisc.univ-evry.fr.
authors.forename: Hanna
authors.initials: H
authors.lastname: Klaudel
mesh_terms: D000970:Antineoplastic Agents / Q000627:therapeutic use; D001943:Breast Neoplasms / Q000175:diagnosis / Q000188:drug therapy; D005260:Female; D005716:Game Theory; D006801:Humans; D008962:Models, Theoretical; D057285:Precision Medicine / Q000379:methods* / Q000639:trends
chemical_list: D000970:Antineoplastic Agents
keywords: Boolean network; Cancer therapy; Game theory; Network medicine; Precision medicine; Systems biology; Therapy prediction