Proteomic-based screening of miRNAs metabolic pathway targeting

Patrizio Arrigo, Pasquale P. Cardo, Alberto Izzotti

Research output: Contribution to journalArticlepeer-review


The analysis of miRNA expression profile is powerful support to screen new disease biomarkers. One miRNA can control the expression of several different protein mRNAs. Lack of knowledge, about the process of target recognition, is a weak point in the development of reliable computational tools for miRNA target selection. Here we present a novel integrative approach for to predict potential miRNA target. It is a workflow founded on integration proteomic and miRNA information. The software has been tested on a sample of proteomic data obtained from samples of mouse subjected to the effect of Environmental Cigarette Smoke (ECS).

Original languageEnglish
Pages (from-to)164-173
Number of pages10
JournalInternational Journal of Computational Biology and Drug Design
Issue number2
Publication statusPublished - Sep 2010


  • Abs array
  • Biomarkers discovery
  • Integrative bioinformatics
  • Metabolic pathway
  • MiRNA
  • Proteomic
  • Workflow

ASJC Scopus subject areas

  • Computer Science Applications
  • Drug Discovery

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