In this paper, we explore the interaction between miRNA and deregulated proteins in some pathologies. Assuming that miRNA can influence mRNA and consequently the proteins regulation, we explore this connection by using an interaction matrix derived from miRNA-target data and PPI network interactions. From this interaction 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 disease development.
Fiannaca, A., La Paglia, L., La Rosa, M., Lo Bosco, G., Rizzo, R., Urso, A. (2020). Identification of Key miRNAs in Regulation of PPI Networks. In M. Raposo, P. Ribeiro, S. Sério, A. Staiano, A. Ciaramella (a cura di), Computational Intelligence Methods for Bioinformatics and Biostatistics 15th International Meeting, CIBB 2018, Caparica, Portugal, September 6–8, 2018 (pp. 107-117) [10.1007/978-3-030-34585-3_10].
Identification of Key miRNAs in Regulation of PPI Networks
Lo Bosco, Giosué;Urso, Alfonso
2020-01-01
Abstract
In this paper, we explore the interaction between miRNA and deregulated proteins in some pathologies. Assuming that miRNA can influence mRNA and consequently the proteins regulation, we explore this connection by using an interaction matrix derived from miRNA-target data and PPI network interactions. From this interaction 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 disease development.
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