作者: Valeria Boscaino , Antonino Fiannaca , Laura La Paglia , Massimo La Rosa , Riccardo Rizzo
DOI: 10.1186/S12859-019-2881-7
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摘要: In silico experiments, with the aid of computer simulation, speed up process in vitro or vivo experiments. Cancer therapy design is often based on signalling pathway. MicroRNAs (miRNA) are small non-coding RNA molecules. several kinds diseases, including cancer, hepatitis and cardiovascular they deregulated, acting as oncogenes tumor suppressors. miRNA therapeutics two main molecules injection: mimics, which consists injection that mimic targeted miRNA, antagomiR, inhibiting miRNA. Nowadays, research focused therapeutics. This paper addresses cancer related pathways to investigate order prove our approach, we present different case studies: non-small cell lung melanoma. KEGG modelled by a digital circuit. A logic value 1 linked expression corresponding gene. 0 absence (not expressed) All possible relationships provided pathway gates. Mutations, derived according literature, introduced well. The modelling approach analysis widely discussed within paper. MiRNA investigated circuit analysis. most effective combination miRNAs, terms reduction pathogenic conditions, obtained. discussion obtained results comparison literature data provided. Results confirmed existing data. proposed study drug discovery uses simulation Using this drugs miRNAs for mutated these were validated literature. can be applied each human disease, starting from