2012
DOI: 10.1093/database/bas032
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DFVF: database of fungal virulence factors

Abstract: Fungal pathogens cause various diseases for plant and animal hosts. Despite the extensive impact of fungi on human health and life, the threats posed by emerging fungal pathogens are poorly understood. Specifically, there exist few fungal virulence gene databases, which prevent effective bioinformatics studies on fungal pathogens. Therefore, we constructed a comprehensive online database of known fungal virulence factors, which collected 2058 pathogenic genes produced by 228 fungal strains from 85 genera. This… Show more

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Cited by 86 publications
(51 citation statements)
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“…Protease candidates were screened by searching secretory proteins against the MEROPS database [69]. Pathogenic genes were identified using the PHI (http://www.phi-base.org/) [70] and DFVF (http://sysbio.unl.edu/ DFVF/Download.php) [71] databases. Effector candidates were predicted in combination with the SignalP 5.0 server (http://www.cbs.dtu.dk/services/SignalP-5.0/).…”
Section: Secretome Analysis and Pathogenicity-related Genesmentioning
confidence: 99%
“…Protease candidates were screened by searching secretory proteins against the MEROPS database [69]. Pathogenic genes were identified using the PHI (http://www.phi-base.org/) [70] and DFVF (http://sysbio.unl.edu/ DFVF/Download.php) [71] databases. Effector candidates were predicted in combination with the SignalP 5.0 server (http://www.cbs.dtu.dk/services/SignalP-5.0/).…”
Section: Secretome Analysis and Pathogenicity-related Genesmentioning
confidence: 99%
“…The analysis of the protein family expansion and contraction was performed with the CAFE 3.0 software (Han et al 2013). Three tables of protein families/clusters were used as input: (i) the numbers of proteins with a specific Pfam domain in each proteome, for each Pfam motif found by the stand-alone Pfam scanner and a database downloaded on 8 July, 2015 (Punta et al 2012); (ii) the numbers of blast hits in each proteome (e-value cut-off, 1 9 e -20 ) where proteins from the Database of Fungal Virulence Factors [downloaded on 7 July, 2015; (Lu et al 2012)] were used as queries; (iii) the numbers of blast hits in each proteome (e-value cut-off, 1 9 e -20 ) where proteins from the core set of the Fungal Stress Response Database [received from the authors on 4 March, 2015; (Karanyi et al 2013)] were used as queries. The resulting list of protein groups with significant predicted expansion/contraction was manually checked with a focus on the branches leading to A. melanogenum, H. werneckii and E. dermatitidis.…”
Section: Cafe Analysismentioning
confidence: 99%
“…It includes over 570 primer sets for more than 200 species of phytopathogenic fungi. DFVF [182] is a database of fungal virulence factors, and includes information on 2,058 genes of fungal pathogens.…”
Section: Databasesmentioning
confidence: 99%