Biomedical data integration in computational drug design and bioinformatics

José A. Seoane, Vanessa Aguiar-Pulido, Cristian R. Munteanu, Daniel Rivero, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos

Research output: Contribution to journalReview articlepeer-review

12 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)108-117
Number of pages10
JournalCurrent Computer-Aided Drug Design
Volume9
Issue number1
DOIs
StatePublished - 2013
Externally publishedYes

Keywords

  • Data integration
  • Data warehouse
  • Federated database
  • Multi-agent systems
  • Ontologies
  • Semantic web technologies

ASJC Scopus subject areas

  • Molecular Medicine
  • Drug Discovery

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