Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/47483

TitleA network perspective on antimicrobial peptide combination therapies: the potential of colistin, polymyxin B and nisin
Author(s)Jorge, Paula
Pérez-Pérez, Martín
Rodríguez, Gael Pérez
Pereira, Maria Olívia
Lourenço, Anália
KeywordsAntimicrobial peptide combination
Bioinformatics
Network
Colistin
Polymyxin B
Nisin
Issue dateJun-2017
PublisherElsevier
JournalInternational Journal of Antimicrobial Agents
CitationJorge, Paula; Pérez-Pérez, Martín; Rodríguez, Gael Pérez; Pereira, Maria Olívia; Lourenço, Anália, A network perspective on antimicrobial peptide combination therapies: the potential of colistin, polymyxin B and nisin. International Journal of Antimicrobial Agents, 49(6), 668-676, 2017
Abstract(s)Antimicrobial combinations involving antimicrobial peptides (AMPs) attract considerable attention within current antimicrobial and anti-resistance research. The objective of this study was to review the available scientific literature on the effects of antimicrobial combinations involving colistin (polymyxin E), polymyxin B and nisin, which are US Food and Drug Administration (FDA)-approved AMPs broadly tested against prominent multidrug-resistant pathogens. A bioinformatics approach based on literature mining and manual expert curation supported the reconstruction of experimental evidence on the potential of these AMP combinations, as described in the literature. Network analysis enabled further characterisation of the retrieved antimicrobial agents, targets and combinatory effects. This systematic analysis was able to output valuable information on the studies conducted on colistin, polymyxin B and nisin combinations. The reconstructed networks enable the traversal and browsing of a large number of agent combinations, providing comprehensive details on the organisms, modes of growth and methodologies used in the studies. Therefore, network analysis enables a bird's-eye view of current research trends as well as in-depth analysis of specific drugs, organisms and combinatory effects, according to particular user interests. The reconstructed knowledge networks are publicly accessible at http://sing-group.org/antimicrobialCombination/. Hopefully, this resource will help researchers to look into antimicrobial combinations more easily and systematically. User-customised queries may help to identify missing and less studied links and to generate new research hypotheses.
TypeArticle
DescriptionSupplementary data associated with this article can be found, in the online version, at doi:10.1016/j.ijantimicag.2017.02.012.
URIhttp://hdl.handle.net/1822/47483
DOI10.1016/j.ijantimicag.2017.02.012
ISSN1872-7913
e-ISSN0924-8579
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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