Biomedical data integration in computational drug design and bioinformatics

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Biomedical data integration in computational drug design and bioinformaticsAuthor(s)
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2013Citation
Seoane JA, Aguiar-Pulido V, Munteanu CR, Rivero D, Rabuñal JR, Dorado J, Pazos A. Biomedical data integration in computational drug design and bioinformatics. Curr Comp Aided Drug Des. 2013;9(1):108-117
Abstract
[Abstract In recent years, in the post genomic era, more and more data is being generated by biological high throughput technologies, such as proteomics and transcriptomics. This omics data can be very useful, but the real challenge is to analyze all this data, as a whole, after integrating it. Biomedical data integration enables making queries to different, heterogeneous and distributed biomedical data sources. Data integration solutions can be very useful not only in the context of drug design, but also in biomedical information retrieval, clinical diagnosis, system biology, etc. In this review, we analyze the most common approaches to biomedical data integration, such as federated databases, data warehousing, multi-agent systems and semantic technology, as well as the solutions developed using these approaches in the past few years.
Keywords
Data integration
Data warehouse
Federated database
Mult-agent systems
Ontologies
Semantic web technologies
Biomedical data
Computational drug design
Bioinformatics
Data warehouse
Federated database
Mult-agent systems
Ontologies
Semantic web technologies
Biomedical data
Computational drug design
Bioinformatics
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The published manuscript is avaliable at EurekaSelect
ISSN
1573-4099
1875-6697
1875-6697