Dataset Information
Drug Repositioning to Accelerate Drug Development Using Social Media Data: Computational Study on Parkinson Disease.
Ontology highlight
ABSTRACT: Background
Due to the high cost and low success rate in new drug development, systematic drug repositioning methods are exploited to find new indications for existing drugs.Objective
We sought to propose a new computational drug repositioning method to identify repositioning drugs for Parkinson disease (PD).Methods
We developed a novel heterogeneous network mining repositioning method that constructed a 3-layer network of disease, drug, and adverse drug reaction and involved user-generated data from online health communities to identify potential candidate drugs for PD.Results
We identified 44 non-Parkinson drugs by using the proposed approach, with data collected from both pharmaceutical databases and online health communities. Based on the further literature analysis, we found literature evidence for 28 drugs.Conclusions
In summary, the proposed heterogeneous network mining repositioning approach is promising for identifying repositioning candidates for PD. It shows that adverse drug reactions are potential intermediaries to reveal relationships between disease and drug.
SUBMITTER: Zhao M
PROVIDER: S-EPMC6231748 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature
Publications
Drug Repositioning to Accelerate Drug Development Using Social Media Data: Computational Study on Parkinson Disease.
Journal of medical Internet research 20181011 10
<h4>Background</h4>Due to the high cost and low success rate in new drug development, systematic drug repositioning methods are exploited to find new indications for existing drugs.<h4>Objective</h4>We sought to propose a new computational drug repositioning method to identify repositioning drugs for Parkinson disease (PD).<h4>Methods</h4>We developed a novel heterogeneous network mining repositioning method that constructed a 3-layer network of disease, drug, and adverse drug reaction and invol ...[more]