期刊
BIOINFORMATICS
卷 30, 期 12, 页码 1787-1788出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btu058
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资金
- Telethon Foundation [TGM11SB1]
- Italian Ministry of Health [GR-2009-1596824]
- EU Project Nanosol [309329]
- Italian Ministry of Research [PON A3-00311]
Elucidation of molecular targets of a compound [mode of action (MoA)] and its off-targets is a crucial step in drug development. We developed an online collaborative resource (MANTRA 2.0) that supports this process by exploiting similarities between drug-induced transcriptional profiles. Drugs are organized in a network of nodes (drugs) and edges (similarities) highlighting 'communities' of drugs sharing a similar MoA. A user can upload gene expression profiles before and after drug treatment in one or multiple cell types. An automated processing pipeline transforms the gene expression profiles into a unique drug 'node' embedded in the drug-network. Visual inspection of the neighbouring drugs and communities helps in revealing its MoA and to suggest new applications of known drugs (drug repurposing). MANTRA 2.0 allows storing and sharing user-generated network nodes, thus making MANTRA 2.0 a collaborative ever-growing resource.
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