Networking the Way towards Antimicrobial Combination Therapies

  • Paula Jorge
  • Maria Olívia Pereira
  • Anália Lourenc̨o
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 294)


The exploration of new antimicrobial combinations is a pressing concern for Clinical Microbiology due to the growing number of resistant strains emerging in healthcare settings and in the general community. Researchers are screening agents with alternative modes of action and interest is rising for the potential of antimicrobial peptides (AMPs). This work presents the first ever network reconstruction of AMP combinations reported in the literature fighting Pseudomonas aeruginosa infections. The network, containing 193 combinations of AMPs with 39 AMPs and 154 traditional antibiotics, is expected to help in the design of new studies, notably by unveiling different mechanisms of action and helping in the prediction of new combinations and synergisms. The challenges faced in the attempted text-mining approaches and other considerations regarding the manual curation of the data are pointed out, reflecting about the future automation of this type of reconstruction as means to widen the scope of analysis.


Antimicrobial peptides drug synergism interaction network Pseudomonas aeruginosa infections 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Paula Jorge
    • 1
  • Maria Olívia Pereira
    • 1
  • Anália Lourenc̨o
    • 1
    • 2
  1. 1.CEB - Centre of Biological EngineeringUniversity of MinhoBragaPortugal
  2. 2.ESEI - Escuela Superior de Ingeniería Informática, Edificio PolitécnicoOurenseSpain

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