Efremov R G, Vergoten G
Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Ul. Miklukho-Maklaya, Moscow, Russia.
Protein Eng. 1996 Mar;9(3):253-63. doi: 10.1093/protein/9.3.253.
A method for assessing the environmental properties of membrane-spanning alpha-helical peptides in proteins has been proposed. The algorithm employs a set of environmental preference parameters derived for amino acid residues based on the analysis of the 3-D structures of membrane domains in bacteriorhodopsin and photoreaction centers Rhodopseudomonas viridis and Rhodobacter sphaeroides. The resulting 3-D-1-D scores for transmembrane segments are significantly different from those derived for alpha-helices in globular proteins. The parameters obtained have been used to construct environmental profiles for membrane alpha-helices in bacteriorhodopsin and photoreaction centers. The profiles successfully recognize their own sequences in several specially designed large databases. The method has been applied to several membrane proteins with unknown spatial structures. Most of their membrane-spanning peptides were efficiently recognized by the profiles. The predicted environment of the residues in the membrane segments fits the experimental data well. The approach is independent of any homology data and can be employed to delineate the membrane segments of a protein with environmental characteristics close to those of bacteriorhodopsin and photoreaction centers. The alignment of these segments with the reference profiles provides a considerable amount of data about their lipid and protein exposure.
提出了一种评估蛋白质中跨膜α-螺旋肽环境特性的方法。该算法采用了一组基于对嗜盐菌视紫红质以及绿脓杆菌和球形红杆菌光反应中心膜结构域三维结构分析得出的氨基酸残基环境偏好参数。跨膜片段的三维-一维得分与球状蛋白中α-螺旋的得分显著不同。所获得的参数已用于构建嗜盐菌视紫红质和光反应中心膜α-螺旋的环境概况。这些概况在几个专门设计的大型数据库中成功识别出了它们自己的序列。该方法已应用于几种空间结构未知的膜蛋白。它们的大多数跨膜肽都能被这些概况有效识别。膜片段中残基的预测环境与实验数据吻合良好。该方法独立于任何同源性数据,可用于描绘具有与嗜盐菌视紫红质和光反应中心相近环境特征的蛋白质的膜片段。将这些片段与参考概况进行比对可提供大量有关它们脂质和蛋白质暴露情况的数据。