Position-specific scoring matrix and hidden Markov model complement each other for the prediction of conopeptide superfamilies.

@article{Koua2013PositionspecificSM,
  title={Position-specific scoring matrix and hidden Markov model complement each other for the prediction of conopeptide superfamilies.},
  author={Dominique Koua and Silja Laht and Lauris Kaplinski and Reto St{\"o}cklin and Maido Remm and Philippe Favreau and Fr{\'e}d{\'e}rique Lisacek},
  journal={Biochimica et biophysica acta},
  year={2013},
  volume={1834 4},
  pages={717-24}
}
Classified into 16 superfamilies, conopeptides are the main component of cone snail venoms that attract growing interest in pharmacology and drug discovery. The conventional approach to assigning a conopeptide to a superfamily is based on a consensus signal peptide of the precursor sequence. While this information is available at the genomic or transcriptomic levels, it is not present in amino acid sequences of mature bioactives generated by proteomic studies. As the number of conopeptide… CONTINUE READING
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