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    Genome Biol. 2008 Jan 16;9(1):R8. [Epub ahead of print]

    The SeqFEATURE library of 3D functional site models: comparison to existing methods and applications to protein function annotation.

    Wu S, Liang MP, Altman RB.

    Program in Biomedical Informatics, Stanford University, Stanford, CA, 94305 USA. russ.altman@stanford.edu.

    ABSTRACT: Structural genomics efforts have led to increasing numbers of novel, uncharacterized protein structures with low sequence identity to known proteins, resulting in a growing need for structure-based function recognition tools. Our method, SeqFEATURE, robustly models protein functions described by sequence motifs using a structural representation. We built a library of models that shows good performance compared to other methods. In particular, SeqFEATURE demonstrates significant improvement over other methods when sequence and structural similarity are low.

    PMID: 18197987 [PubMed - as supplied by publisher]

    PMCID: 2395245

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