Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow

Detalhes bibliográficos
Autor(a) principal: Jorge, P.
Data de Publicação: 2016
Outros Autores: Pérez-Pérez, Martín, Rodríguez, Gael Pérez, Fdez-Riverola, Florentino, Pereira, Maria Olívia, Lourenço, Anália
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/44741
Resumo: Considerable research efforts are being invested in the development of novel antimicrobial therapies effective against the growing number of multi-drug resistant (MDR) pathogens. Notably, the combination of different agents is increasingly explored as means to exploit and improve individual agent actions while minimising 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/
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spelling Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflowCombinatorial antimicrobial therapyAntimicrobial peptidesPathogenic organismsAntimicrobial resistanceDatabase curation workflowScience & TechnologyConsiderable research efforts are being invested in the development of novel antimicrobial therapies effective against the growing number of multi-drug resistant (MDR) pathogens. Notably, the combination of different agents is increasingly explored as means to exploit and improve individual agent actions while minimising 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/This study was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit and COMPETE 2020 (POCI-01-0145FEDER-006684), and support by FCT and the European Community fund FEDER, through the Programme COMPETE, under the scope of the Projects AntiPep PTDC/SAU-SAP/113196/2009 (FCOMP-01-0124-FEDER-016012) and RECI/BBB-EBI/0179/2012 (FCOMP-01-0124-FEDER-027462). Authors acknowledge the PhD Grant of Paula Jorge, funded by FCT Ref. SFRH/BD/ 88192/2012, and the PhD grants of Martin Pérez-Pérez and Gael Pe´rez-Rodriguez, funded by the University of Vigo. Finally, this study was partially funded by the [15VI013] Contract-Programme from the University of Vigo and the Agrupamento INBIOMED from DXPCTSUG-FEDER unha maneira de facer Europa (2012/273). This document reflects only the authors views and the European Union is not liable for any use that may be made of the information contained herein.Oxford University PressUniversidade do MinhoJorge, P.Pérez-Pérez, MartínRodríguez, Gael PérezFdez-Riverola, FlorentinoPereira, Maria OlíviaLourenço, Anália20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/44741engJorge, P.; Pérez-Pérez, Martín; Rodríguez, Gael Pérez; Fdez-Riverola, Florentino; Pereira, Maria Olívia; Lourenço, Anália, Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow. Database - The Journal of Biological Databases and Curation, 2016(baw143), 20161758-04631758-046310.1093/database/baw14328025336http://database.oxfordjournals.org/info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:07:19Zoai:repositorium.sdum.uminho.pt:1822/44741Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:58:13.444163Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow
title Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow
spellingShingle Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow
Jorge, P.
Combinatorial antimicrobial therapy
Antimicrobial peptides
Pathogenic organisms
Antimicrobial resistance
Database curation workflow
Science & Technology
title_short Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow
title_full Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow
title_fullStr Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow
title_full_unstemmed Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow
title_sort Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow
author Jorge, P.
author_facet Jorge, P.
Pérez-Pérez, Martín
Rodríguez, Gael Pérez
Fdez-Riverola, Florentino
Pereira, Maria Olívia
Lourenço, Anália
author_role author
author2 Pérez-Pérez, Martín
Rodríguez, Gael Pérez
Fdez-Riverola, Florentino
Pereira, Maria Olívia
Lourenço, Anália
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Jorge, P.
Pérez-Pérez, Martín
Rodríguez, Gael Pérez
Fdez-Riverola, Florentino
Pereira, Maria Olívia
Lourenço, Anália
dc.subject.por.fl_str_mv Combinatorial antimicrobial therapy
Antimicrobial peptides
Pathogenic organisms
Antimicrobial resistance
Database curation workflow
Science & Technology
topic Combinatorial antimicrobial therapy
Antimicrobial peptides
Pathogenic organisms
Antimicrobial resistance
Database curation workflow
Science & Technology
description Considerable research efforts are being invested in the development of novel antimicrobial therapies effective against the growing number of multi-drug resistant (MDR) pathogens. Notably, the combination of different agents is increasingly explored as means to exploit and improve individual agent actions while minimising 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/
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/44741
url http://hdl.handle.net/1822/44741
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Jorge, P.; Pérez-Pérez, Martín; Rodríguez, Gael Pérez; Fdez-Riverola, Florentino; Pereira, Maria Olívia; Lourenço, Anália, Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow. Database - The Journal of Biological Databases and Curation, 2016(baw143), 2016
1758-0463
1758-0463
10.1093/database/baw143
28025336
http://database.oxfordjournals.org/
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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