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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.