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BMC Genomics

, 11:105

First Online: 11 February 2010Received: 16 May 2009Accepted: 11 February 2010


BackgroundFungi 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.

DescriptionA 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.

ConclusionsThe 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

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2164-11-105 contains supplementary material, which is available to authorized users.

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Autor: Jaeyoung Choi - Jongsun Park - Donghan Kim - Kyongyong Jung - Seogchan Kang - Yong-Hwan Lee


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