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Identification of Key miRNAs in Regulation of PPI Networks

Chapter
Publication Date:
2020
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.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
miRNA expression profiles; Protein-protein interaction networks; Genetic algorithms
List of contributors:
Rizzo, Riccardo; Urso, Alfonso; Fiannaca, Antonino; LA ROSA, Massimo; LA PAGLIA, Laura
Authors of the University:
FIANNACA ANTONINO
LA PAGLIA LAURA
LA ROSA MASSIMO
RIZZO RICCARDO
URSO ALFONSO
Handle:
https://iris.cnr.it/handle/20.500.14243/370472
Book title:
Computational Intelligence Methods for Bioinformatics and Biostatistics
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