Abstract
The resonant recognition model is used to predict structurally and functionally important amino acid residues (so-called hot spots) in the neuropeptide Y (NPY) family. Thirty-three polypeptides belong to this family. All of them consist of 36 amino acids. The model predicts that residues 10 and 28 in the polypeptides are hot spots. In the 33 polypeptides, most of the amino acids at residue 10 are acidic amino acids, glutamic acid and aspartic acid. Other minor amino acids, serine, glycine, and proline, have high probabilities of β-turn occurrence. Amino acids at residue 28 are all branched hydrophobic amino acids, isoleucine, leucine, and valine. The profile for predicting hot spots indicates repeating patterns of residues 1–18 and residues 19–36. Absolute values at residue i and residue i + 18 are the same, but these residues have opposite signs. Therefore the model of the NPY family predicts hot spots concerning a combination of residue i and residue i + 18.
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Murakami, M. Resonant Recognition Model of Neuropeptide Y Family: Hot Spot Amino Acid Distribution in the Sequences. J Protein Chem 19, 609–613 (2000). https://doi.org/10.1023/A:1007143113887
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DOI: https://doi.org/10.1023/A:1007143113887