A Novel Search Engine Supporting Specific Drug Queries and Literature Management

  • Alberto G. Jácome
  • Florentino Fdez-Riverola
  • Anália LourençoEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 375)


The growing concern for acquired microbial resistance is promoting the publication of a large number of clinical and biological antimicrobial studies. Most of these publications can be obtained by searching the PubMed database, but the broad scope and huge size of this collection make the search challenging, and time consuming. This paper presents an advanced search engine for the screening of up-to-date information on drug-related experimental studies. The main contributions lay on the resource-oriented architecture and the semantic analysis of the documents. The RESTful API enables the use of the searchable collection by different user interfaces whereas text mining tools support domain-specific document labeling, scoring and indexing. A small search engine demo indexing articles on antimicrobial peptide research is available at The source code is also accessible from the same homepage and freely available under MIT License.


Drugs Experimental testing Vertical search engine Text mining Document annotation Web application 



This work was partially funded by the following projects: [14VI05] Contract-Programme, from the University of Vigo, and [TIN2013-47153-C3-3-R] Platform of integration of intelligent techniques for analysis of biomedical information, from the Spanish Ministry of Economy and Competitiveness.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Alberto G. Jácome
    • 1
  • Florentino Fdez-Riverola
    • 1
  • Anália Lourenço
    • 1
    • 2
    Email author
  1. 1.ESEI - Escuela Superior de Ingeniería Informática Edificio PolitécnicoCampus Universitario as Lagoas S/NOurenseSpain
  2. 2.Centre of Biological EngineeringUniversity of MinhoBragaPortugal

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