title: Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow.
abstract: Considerable research efforts are being invested in the development of novel antimicrobial therapies effective against the growing number of multi-drug resistant pathogens. Notably, the combination of different agents is increasingly explored as means to exploit and improve individual agent actions while minimizing microorganism resistance. Although there are several databases on antimicrobial agents, scientific literature is the primary source of information on experimental antimicrobial combination testing. This work presents a semi-automated database curation workflow that supports the mining of scientific literature and enables the reconstruction of recently documented antimicrobial combinations. Currently, the database contains data on antimicrobial combinations that have been experimentally tested against Pseudomonas aeruginosa, Staphylococcus aureus, Escherichia coli, Listeria monocytogenes and Candida albicans, which are prominent pathogenic organisms and are well-known for their wide and growing resistance to conventional antimicrobials. Researchers are able to explore the experimental results for a single organism or across organisms. Likewise, researchers may look into indirect network associations and identify new potential combinations to be tested. The database is available without charges.Database URL: http://sing.ei.uvigo.es/antimicrobialCombination/.
authors.affiliation: CEB - Centre of Biological Engineering LIBRO - Laboratory of Research in Biofilms Rosário Oliveira, University of Minho, Braga, Portugal.
authors.forename: Paula
authors.initials: P
authors.lastname: Jorge
authors.affiliation: ESEI - Department of Computer Science, University of Vigo, Ourense, Spain.
authors.forename: Martín
authors.initials: M
authors.lastname: Pérez-Pérez
authors.affiliation: ESEI - Department of Computer Science, University of Vigo, Ourense, Spain.
authors.forename: Gael
authors.initials: G
authors.lastname: Pérez Rodríguez
authors.affiliation: ESEI - Department of Computer Science, University of Vigo, Ourense, Spain.
authors.forename: Florentino
authors.initials: F
authors.lastname: Fdez-Riverola
authors.affiliation: CEB - Centre of Biological Engineering LIBRO - Laboratory of Research in Biofilms Rosário Oliveira, University of Minho, Braga, Portugal.
authors.forename: Maria Olívia
authors.initials: MO
authors.lastname: Pereira
authors.affiliation: ESEI - Department of Computer Science, University of Vigo, Ourense, Spain analia@uvigo.es.|CEB - Centre of Biological Engineering, University of Minho, Braga, Portugal.
authors.forename: Anália
authors.initials: A
authors.lastname: Lourenço
mesh_terms: D000818:Animals; D000890:Anti-Infective Agents / Q000737:chemistry; D023181:Antimicrobial Cationic Peptides / Q000737:chemistry / Q000235:genetics; D001419:Bacteria / Q000235:genetics / Q000378:metabolism; D001424:Bacterial Infections / Q000188:drug therapy / Q000235:genetics / Q000378:metabolism; D002176:Candida albicans / Q000235:genetics / Q000378:metabolism; D002177:Candidiasis / Q000188:drug therapy / Q000235:genetics / Q000378:metabolism; D066289:Data Curation; D057225:Data Mining; D016208:Databases, Factual; D001330:Electronic Data Processing; D006801:Humans
chemical_list: D000890:Anti-Infective Agents; D023181:Antimicrobial Cationic Peptides