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Pàgina inicial > Articles > Articles publicats > BacFITBase : |
Data: | 2020 |
Resum: | Bacterial infections have been on the rise world-wide in recent years and have a considerable impact on human well-being in terms of attributable deaths and disability-adjusted life years. Yet many mechanisms underlying bacterial pathogenesis are still poorly understood. Here, we introduce the BacFITBase database for the systematic characterization of bacterial proteins relevant for host infection aimed to enable the identification of new antibiotic targets. BacFITBase is manually curated and contains more than 90 000 entries with information on the contribution of individual genes to bacterial fitness under in vivo infection conditions in a range of host species. The data were collected from 15 different studies in which transposon mutagenesis was performed, including top-priority pathogens such as Acinetobacter baumannii and Campylobacter jejuni, for both of which increasing antibiotic resistance has been reported. Overall, BacFITBase includes information on 15 pathogenic bacteria and 5 host vertebrates across 10 different tissues. It is freely available at www. tartaglialab. com/bacfitbase. |
Ajuts: | Ministerio de Economía y Competitividad SAF2015-72518-EXP Agencia Estatal de Investigación SAF2017-82158-R Ministerio de Ciencia e Innovación RYC-2012-09999 European Commission 309545 European Commission 727658 European Commission 793135 Ministerio de Economía y Competitividad BFU2014-55054-P Ministerio de Economía y Competitividad BFU2017-86970-P Ministerio de Economía y Competitividad RYC-2012-09999 |
Drets: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. |
Llengua: | Anglès |
Document: | Article ; recerca ; Versió publicada |
Publicat a: | Nucleic acids research, Vol. 48, Issue D1 (January 2020) , p. D511-D516, ISSN 1362-4962 |
6 p, 1008.6 KB |