Cosic I, Pavlovic M, Vojisavljevic V
Laboratory for Multidisciplinary Research 180/2, Boris Kidric Institute, Belgrade, Yugoslavia.
Biochimie. 1989 Mar;71(3):333-42. doi: 10.1016/0300-9084(89)90005-9.
The Resonant Recognition Model (RRM) is a theoretical method for analysis of protein and nucleotide sequences, based on the Fourier transform of the numerical representation of sequences. The amplitude spectrum of this transform is designated Informational Spectrum (IS). There are certain common frequencies in IS of growth-regulating factors. These characteristic frequencies may correlate with their roles in cell proliferation and metabolism, and in antitumor activity. IS of IL-2 has prominent characteristics in the main frequency domain of growth factors, frequency domain of antitumor factors, and frequency domain characteristic for IL-2-alpha receptor. By means of the inverse method for these 3 domains, the amino acids in the sequence of human IL-2 that may be relevant to its biological function, the so-called "hot spots", were predicted. The most probable hot spots, obtained in this way, are in the potential binding site of IL-2 to its receptor, which agrees with experimental data.
共振识别模型（RRM）是一种基于序列数字表示的傅里叶变换来分析蛋白质和核苷酸序列的理论方法。这种变换的振幅谱被称为信息谱（IS）。生长调节因子的信息谱中存在某些共同频率。这些特征频率可能与其在细胞增殖、代谢以及抗肿瘤活性中的作用相关。白细胞介素-2（IL-2）的信息谱在生长因子的主要频域、抗肿瘤因子的频域以及IL-2-α受体的频域特征方面具有显著特点。通过对这三个域的反演方法，预测了人IL-2序列中可能与其生物学功能相关的氨基酸，即所谓的“热点”。通过这种方式获得的最可能的热点位于IL-2与其受体的潜在结合位点，这与实验数据相符。
