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Novel drug target identification for the treatment of dementia using multi-relational association mining.

Nguyen TP, Priami C, Caberlotto L - Sci Rep (2015)

Bottom Line: Dementia is a neurodegenerative condition of the brain in which there is a progressive and permanent loss of cognitive and mental performance.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.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.

View Article: PubMed Central - PubMed

Affiliation: 1] The Microsoft Research, University of Trento Centre for Computational Systems Biology (COSBI), Piazza Manifattura 1, 38068, Rovereto, Italy [2] Life Sciences Research Unit, University of Luxembourg, 162 A, avenue de la Faïencerie, L-1511 Luxembourg.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Interaction network of drug targets including drug targets and their first neighbors as extracted from the i2d database.The DTs are highlighted in red.
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f2: Interaction network of drug targets including drug targets and their first neighbors as extracted from the i2d database.The DTs are highlighted in red.

Mentions: Based on the set of mapped DTs, we extracted the PIN by processing raw data of protein-protein interactions (PPI) in the i2d database. The final PIN of interest contained the DTs (nodes) and their direct interactions (edges). In this study, we considered one-step neighbors. The network was undirected and unweighted because we considered the binary interactions. Figure 2 illustrates the resulting PIN of dementia DTs. Protein identifiers are the UniProt ID accession number and gene identifiers are represented by the official gene symbols.


Novel drug target identification for the treatment of dementia using multi-relational association mining.

Nguyen TP, Priami C, Caberlotto L - Sci Rep (2015)

Interaction network of drug targets including drug targets and their first neighbors as extracted from the i2d database.The DTs are highlighted in red.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4495601&req=5

f2: Interaction network of drug targets including drug targets and their first neighbors as extracted from the i2d database.The DTs are highlighted in red.
Mentions: Based on the set of mapped DTs, we extracted the PIN by processing raw data of protein-protein interactions (PPI) in the i2d database. The final PIN of interest contained the DTs (nodes) and their direct interactions (edges). In this study, we considered one-step neighbors. The network was undirected and unweighted because we considered the binary interactions. Figure 2 illustrates the resulting PIN of dementia DTs. Protein identifiers are the UniProt ID accession number and gene identifiers are represented by the official gene symbols.

Bottom Line: Dementia is a neurodegenerative condition of the brain in which there is a progressive and permanent loss of cognitive and mental performance.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.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.

View Article: PubMed Central - PubMed

Affiliation: 1] The Microsoft Research, University of Trento Centre for Computational Systems Biology (COSBI), Piazza Manifattura 1, 38068, Rovereto, Italy [2] Life Sciences Research Unit, University of Luxembourg, 162 A, avenue de la Faïencerie, L-1511 Luxembourg.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus