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1 Department of Molecular Biology, The Scripps Research Institute, La Jolla, California 92037, USA
2 Donald Danforth Plant Science Center, St. Louis, Missouri 63141, USA
Reprint requests to: Jeffrey Skolnick, Donald Danforth Plant Science Center, 893 North Warson Road, St. Louis, MO 63141; e-mail: skolnick{at}danforthcenter.org; fax: 314-812-8075.
A function annotation method using the sequence-to-structure-to-function paradigm is applied to the identification of all disulfide oxidoreductases in the Saccharomyces cerevisiae genome. The method identifies 27 sequences as potential disulfide oxidoreductases. All previously known thioredoxins, glutaredoxins, and disulfide isomerases are correctly identified. Three of the 27 predictions are probable false-positives. Three novel predictions, which subsequently have been experimentally validated, are presented. Two additional novel predictions suggest a disulfide oxidoreductase regulatory mechanism for two subunits (OST3 and OST6) of the yeast oligosaccharyltransferase complex. Based on homology, this prediction can be extended to a potential tumor suppressor gene, N33, in humans, whose biochemical function was not previously known. Attempts to obtain a folded, active N33 construct to test the prediction were unsuccessful. The results show that structure prediction coupled with biochemically relevant structural motifs is a powerful method for the function annotation of genome sequences and can provide more detailed, robust predictions than function prediction methods that rely on sequence comparison alone.
Keywords: Disulfide oxidoreductase; fuzzy functional forms (FFFs); protein function prediction; oligosaccharyltransferase (OST); OST3; OST6; N33; structural genomics
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