Murakami M
Musashigaoka College, Hiki-gun, Saitama, Japan.
J Protein Chem. 2000 Oct;19(7):609-13. doi: 10.1023/a:1007143113887.
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 beta-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.
共振识别模型用于预测神经肽Y（NPY）家族中在结构和功能上重要的氨基酸残基（即所谓的热点）。该家族有33种多肽。它们均由36个氨基酸组成。该模型预测多肽中的第10位和第28位残基是热点。在这33种多肽中，第10位残基处的大多数氨基酸是酸性氨基酸，即谷氨酸和天冬氨酸。其他少数氨基酸，丝氨酸、甘氨酸和脯氨酸，具有较高的形成β-转角的概率。第28位残基处的氨基酸均为支链疏水氨基酸，即异亮氨酸、亮氨酸和缬氨酸。预测热点的图谱表明第1 - 18位残基和第19 - 36位残基存在重复模式。第i位残基和第i + 18位残基的绝对值相同，但这些残基具有相反的符号。因此，NPY家族模型预测的热点涉及第i位残基和第i + 18位残基的组合。
