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Fungal Secretome Database: Integrated platform for annotation of fungal secretomes

Jaeyoung Choi123, Jongsun Park1234, Donghan Kim123, Kyongyong Jung123, Seogchan Kang6 and Yong-Hwan Lee12345*

Author Affiliations

1 Fungal Bioinformatics Laboratory, Seoul National University, Seoul 151-921, Korea

2 Department of Agricultural Biotechnology, Seoul National University, Seoul 151-921, Korea

3 Center for Fungal Pathogenesis, Seoul National University, Seoul 151-921, Korea

4 Center for Fungal Genetic Resources, Seoul National University, Seoul 151-921, Korea

5 Center for Agricultural Biomaterials, Seoul National University, Seoul 151-921, Korea

6 Department of Plant Pathology, The Pennsylvania State University, University Park, PA 16802, USA

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BMC Genomics 2010, 11:105  doi:10.1186/1471-2164-11-105

Published: 11 February 2010



Fungi secrete various proteins that have diverse functions. Prediction of secretory proteins using only one program is unsatisfactory. To enhance prediction accuracy, we constructed Fungal Secretome Database (FSD).


A three-layer hierarchical identification rule based on nine prediction programs was used to identify putative secretory proteins in 158 fungal/oomycete genomes (208,883 proteins, 15.21% of the total proteome). The presence of putative effectors containing known host targeting signals such as RXLX [EDQ] and RXLR was investigated, presenting the degree of bias along with the species. The FSD's user-friendly interface provides summaries of prediction results and diverse web-based analysis functions through Favorite, a personalized repository.


The FSD can serve as an integrated platform supporting researches on secretory proteins in the fungal kingdom. All data and functions described in this study can be accessed on the FSD web site at webcite.