Fungal Secretome Database: Integrated platform for annotation of fungal secretomes

Jaeyoung Choi, Jongsun Park, Donghan Kim, Kyongyong Jung, Seogchan Kang, Yong Hwan Lee

Research output: Contribution to journalArticlepeer-review

114 Scopus citations

Abstract

Background: 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).Description: 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.Conclusions: 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 http://fsd.snu.ac.kr/.

Original languageEnglish (US)
Article number105
JournalBMC genomics
Volume11
Issue number1
DOIs
StatePublished - May 16 2010

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Genetics

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