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FSD specifications


Unique identifier OMICS_03908
Name FSD
Alternative name Fungal Secretome Database
Restrictions to use None
Maintained Yes


  • person_outline Yong-Hwan Lee

Publication for Fungal Secretome Database

FSD citations


The Apoplastic Secretome of Trichoderma virens During Interaction With Maize Roots Shows an Inhibition of Plant Defence and Scavenging Oxidative Stress Secreted Proteins

Front Plant Sci
PMCID: 5896443
PMID: 29675028
DOI: 10.3389/fpls.2018.00409

[…] meP 2.0) (Bendtsen et al., ) (Supplementary Figure ). Moreover, prediction of secretory proteins was based on bioinformatics tools and parameters reported by two different fungal secretome databases: Fungal Secretome Database (FSD) (Choi et al., ) and FunSeckB2 (Meinken et al., ), and one plant secretome database: PlanSeckB (Min et al., ). Additionally, the prediction tool EffectorP was used to id […]


The Comparison of Expressed Candidate Secreted Proteins from Two Arbuscular Mycorrhizal Fungi Unravels Common and Specific Molecular Tools to Invade Different Host Plants

Front Plant Sci
PMCID: 5293756
PMID: 28223991
DOI: 10.3389/fpls.2017.00124

[…] AFFT (Katoh et al., ) was used to align SP7 with its relative SPs. For comparison, the 726 RiSPs predicted from Gloin1 gene models were compared to the previously identified R. irregularis SPs of the fungal secretome database (classes: SP, SP3, and SL—Choi et al., ). To identify putative RiSPs and GrSPs orthologs in other fungi, BLAST-P analyses were performed against the RefSeq with a e-value < 1 […]


Kingdom Wide Analysis of Fungal Small Secreted Proteins (SSPs) Reveals their Potential Role in Host Association

Front Plant Sci
PMCID: 4759460
PMID: 26925088
DOI: 10.3389/fpls.2016.00186

[…] coding SSPs also have hampered large-scale comparative analyses of putative effectors.In this study, we refined multiple secretome components with the focus on SSPs for 136 fungal species archived in Fungal Secretome Database (FSD; Choi et al., ) via a data extraction pipeline consisting of multiple programs. This refined data set was analyzed in the context of the phylogenetic position and lifest […]


Computational Prediction of Effector Proteins in Fungi: Opportunities and Challenges

Front Plant Sci
PMCID: 4751359
PMID: 26904083
DOI: 10.3389/fpls.2016.00126

[…] Numerous accessible online databases have been developed to provide a catalog of well-characterized predicted secretory proteins and publically available CSEPs (Table ). For instance, the Fungal Secretome Database (FSD) comprises predicted secretory proteins from 158 fungal/oomycete genomes. FSD relies on nine different prediction programs to build its inventory, namely SignalP 3.0, Si […]


Beyond plant defense: insights on the potential of salicylic and methylsalicylic acid to contain growth of the phytopathogen Botrytis cinerea

Front Plant Sci
PMCID: 4607878
PMID: 26528317
DOI: 10.3389/fpls.2015.00859

[…] The Fungal Secretome Database 3.0 (Choi et al., ) was used to collect annotations and signal peptide prediction programs (Bendtsen et al., ; Emanuelsson et al., ; Caccia et al., ). SecretomeP 2.0 (http:// […]


Analysis of the Secretomes of Paracoccidioides Mycelia and Yeast Cells

PLoS One
PMCID: 3525554
PMID: 23272246
DOI: 10.1371/journal.pone.0052470

[…] nism. Proteins/isoforms that were not predicted to be secreted by yeast and mycelia represented 56 of the 160 identified spots (35%) (Table S1). These data are in agreement with those reported by the Fungal Secretome Database (FSD), which describes that 58% of the 9,136 proteins expressed by the Paracoccidioides Pb01 genome are predicted to be Class NS (non-classically secreted), while 14% display […]


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FSD institution(s)
Fungal Bioinformatics Laboratory, Seoul National University, Seoul, Korea

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