MicroRNAs (miRNAs) are small non coding RNAs with regulatory functions to post-transcriptional level. They play an important role in molecular and cellular mechanisms, thanks to their ability to bind and interact with many RNA messengers (mRNAs) of coding product involved in a wide range of biological pathways, cellular status, and conditions. They are more often seen as key regulators of pathological conditions as cancer. Indeed a wide range of studies evidence a potential role of these small molecules as biomarkers in this disease. The first evidence of miRNAs arose in Caenorhabditis elegans (Nematoda; Rhabditidae). Studies on nematodes have been applied in a wide range of fields, in order to understand the molecular biology of humans and animals. In animals the miRNA-mRNA interaction occurs through an imperfect binding, which makes the computational prediction of the target a challenging task. We present here a Self Organizing Map (SOM) based method for the miRNA target prediction, characterized by the projection of any mRNA sequence allowing to find an interaction with miRNAs.
A SOM based method for miRNA-target prediction
Antonino Fiannaca;Laura La Paglia;Massimo La Rosa;Salvatore Vaglica;Riccardo Rizzo;Alfonso Urso
2015
Abstract
MicroRNAs (miRNAs) are small non coding RNAs with regulatory functions to post-transcriptional level. They play an important role in molecular and cellular mechanisms, thanks to their ability to bind and interact with many RNA messengers (mRNAs) of coding product involved in a wide range of biological pathways, cellular status, and conditions. They are more often seen as key regulators of pathological conditions as cancer. Indeed a wide range of studies evidence a potential role of these small molecules as biomarkers in this disease. The first evidence of miRNAs arose in Caenorhabditis elegans (Nematoda; Rhabditidae). Studies on nematodes have been applied in a wide range of fields, in order to understand the molecular biology of humans and animals. In animals the miRNA-mRNA interaction occurs through an imperfect binding, which makes the computational prediction of the target a challenging task. We present here a Self Organizing Map (SOM) based method for the miRNA target prediction, characterized by the projection of any mRNA sequence allowing to find an interaction with miRNAs.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
