Protein seer: a Web server for protein homology detection

Abstract

We present and evaluate a publicly available Web server which classifies protein sequences into SCOP 1.63 PDB95 structural superfamilies. The Website returns ranked lists of likely superfamilies and hence implicit structural predictions according to three computational techniques: BLAST, HMMER and a discriminative classifier SVM-BLOCKS. It is the first… (More)

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Cite this paper

@article{Logan2004ProteinSA, title={Protein seer: a Web server for protein homology detection}, author={B. T. Logan and Ulas Karaoz and P. J. Moreno and Z. Weng and Simon Kasif}, journal={The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society}, year={2004}, volume={2}, pages={3064-3067} }