Reference : Novel drug target identification for the treatment of dementia using multi-relational...
Scientific journals : Article
Human health sciences : Multidisciplinary, general & others
http://hdl.handle.net/10993/21644
Novel drug target identification for the treatment of dementia using multi-relational association mining
English
Nguyen, Thanh Phuong mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit > ; The Microsoft Research, University of Trento Centre for Computational Systems Biology (COSBI)]
Priami, Corrado [COSBI]
Caberlotto, Laura [COSBI]
Jul-2015
Scientific Reports
Nature Publishing Group
5
Yes
International
[en] data mining ; dementia ; drug target ; systems medicine ; network-based approach
[en] Dementia is a neurodegenerative condition of the brain in which there is a progressive and permanent loss of cognitive and mental performance. Despite the fact that the number of people with dementia worldwide is steadily increasing and regardless of the advances in the molecular characterization of the disease, current medical treatments for dementia are purely symptomatic and hardly effective. We present a novel multi-relational association mining method that integrates the huge amount of scientific data accumulated in recent years to predict potential novel targets for innovative therapeutic treatment of dementia. Owing to the ability of processing large volumes of heterogeneous data, our method achieves a high performance and predicts numerous drug targets including several serine threonine kinase and a G-protein coupled receptor. The predicted drug targets are mainly functionally related to metabolism, cell surface receptor signaling pathways, immune response, apoptosis, and long-term memory. Among the highly represented kinase family and among the G-protein coupled receptors, DLG4 (PSD-95), and the bradikynin receptor 2 are highlighted also for their proposed role in memory and cognition, as described in previous studies. These novel putative targets hold promises for the development of novel therapeutic approaches for the treatment of dementia.
http://hdl.handle.net/10993/21644
http://dx.doi.org/10.1038/srep11104
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