Evaluating eukaryotic secreted protein prediction

@article{Klee2005EvaluatingES,
  title={Evaluating eukaryotic secreted protein prediction},
  author={Eric W. Klee and Lynda B. M. Ellis},
  journal={BMC Bioinformatics},
  year={2005},
  volume={6},
  pages={256 - 256}
}
Improvements in protein sequence annotation and an increase in the number of annotated protein databases has fueled development of an increasing number of software tools to predict secreted proteins. Six software programs capable of high throughput and employing a wide range of prediction methods, SignalP 3.0, SignalP 2.0, TargetP 1.01, PrediSi, Phobius, and ProtComp 6.0, are evaluated. Prediction accuracies were evaluated using 372 unbiased, eukaryotic, SwissProt protein sequences. TargetP… CONTINUE READING

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Comparison of predicted and observed secondary structure of T4 phage lysozyme

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