Network Controllability Analysis of Three Multiple-myeloma Patient Genetic Mutation Datasets

• Autorzy: Sanchez Martin Jose Angel , Petre Ion

Identyfikatory

DOI

10.3233/FI-2020-1957

• Języki publikacji: EN

Abstrakty

EN

Network controllability focuses on the concept of driving the dynamical system associated to a directed network of interactions from an arbitrary initial state to an arbitrary final state, through a well-chosen set of input functions applied in a minimal number of so-called input nodes. In earlier studies we and other groups demonstrated the potential of applying this concept in medicine. A directed network of interactions may be built around the main known drivers of the disease being studied, and then analysed to identify combinations of drug targets controlling survivability-essential genes in the network. This paper takes the next step and focuses on patient data. We demonstrate that comprehensive protein-protein interaction networks can be built around patient genetic data, and that network controllability can be used to identify possible personalised drug combinations. We discuss the algorithmic methods that can be used to construct and analyse these networks.

Słowa kluczowe

EN

drug target genes; essential genes; multiple myeloma; mutated genes; network controllability; personalised medicine

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2020
• Tom: Vol. 175, nr 1-4
• Strony: 281--299
• Opis fizyczny: Bibliogr. 56 poz., rys., tab., wykr.

Twórcy

autor

Sanchez Martin Jose Angel

• Department of Information Systems, Polytechnic University of Madrid, Spain

autor

Petre Ion

• Department of Mathematics and Statistics, University of Turku, Finland
• National Institute for Research and Development in Biological Sciences, Romania

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).