In this paper, we explore the interaction among miRNA and deregulated proteins in some pathologies. Assuming that miRNA can influence mRNA and con- sequently the proteins regulation, we explore this connection by using an interaction matrix derived from miRNA-target data and PPI network interactions. From this in- teraction matrix and the set of deregulated proteins, we search for the miRNA subset that influences the deregulated proteins with a minimum impact on the not deregulated ones. This regulation problem can be formulated as a complex optimization problem. In this paper, we have tried to solve it by using the Genetic Algorithm Heuristic. As the main result, we have found a set of miRNA that is known to be involved in the disease development.

IDENTIFICATION OF KEY miRNAs IN REGULATION OF PPI NETWORKS

Antonino Fiannaca;Massimo La Rosa;Laura La Paglia;Alfonso Urso;Riccardo Rizzo;
2018

Abstract

In this paper, we explore the interaction among miRNA and deregulated proteins in some pathologies. Assuming that miRNA can influence mRNA and con- sequently the proteins regulation, we explore this connection by using an interaction matrix derived from miRNA-target data and PPI network interactions. From this in- teraction matrix and the set of deregulated proteins, we search for the miRNA subset that influences the deregulated proteins with a minimum impact on the not deregulated ones. This regulation problem can be formulated as a complex optimization problem. In this paper, we have tried to solve it by using the Genetic Algorithm Heuristic. As the main result, we have found a set of miRNA that is known to be involved in the disease development.
2018
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
miRNA
PPI network
optimization
protein deregulation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/345336
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