Mornon J P, Thoreau E, Rowlands D, Callebaut I, Moreau G
Département des Macromolécules Biologiques, Universités Paris VI/Paris VII, France.
C R Acad Sci III. 1994 Jul;317(7):597-606.
2D hydrophobic cluster analysis (HCA) protein sequence processing, efficient at low levels of sequence identity, leads to a coherent scheme for the structural organization of the hormone-binding domains (HBDs) of nuclear receptors. The typical serine protease inhibitor (serpin) fold, previously proposed, is confirmed as a likely framework for the hormone-binding domain and leads to a logical dimerization. Furthermore, homo- or hetero-dimerization creates sites where hormone could likely be bound, itself being an active component of the dimerization. This model fulfils many of the biochemical and biological data.
二维疏水簇分析(HCA)蛋白质序列处理在低序列同一性水平下效率很高,它为核受体激素结合域(HBD)的结构组织提供了一个连贯的方案。先前提出的典型丝氨酸蛋白酶抑制剂(丝氨酸蛋白酶抑制剂)折叠被确认为激素结合域的可能框架,并导致合理的二聚化。此外,同二聚化或异二聚化产生了可能结合激素的位点,激素本身就是二聚化的活性成分。该模型符合许多生化和生物学数据。