A novel method for GPCR recognition and family classification from sequence alone using signatures derived from profile hidden Markov models.

@article{Papasaikas2003ANM,
  title={A novel method for GPCR recognition and family classification from sequence alone using signatures derived from profile hidden Markov models.},
  author={Panagiotis K. Papasaikas and Pantelis G. Bagos and Zoi I. Litou and Stavros J. Hamodrakas},
  journal={SAR and QSAR in environmental research},
  year={2003},
  volume={14 5-6},
  pages={413-20}
}
G-protein coupled receptors (GPCRs) constitute a broad class of cell-surface receptors, including several functionally distinct families, that play a key role in cellular signalling and regulation of basic physiological processes. GPCRs are the focus of a significant amount of current pharmaceutical research since they interact with more than 50% of prescription drugs, whereas they still comprise the best potential targets for drug design. Taking into account the excess of data derived by… CONTINUE READING

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