Park Yungki, Elsner Markus, Staritzbichler Rene, Helms Volkhard
Center for Bioinformatics, Unversity of Saarland, 66041 Saarbruecken, Germany.
Proteins. 2004 Nov 15;57(3):577-85. doi: 10.1002/prot.20229.
Specific non-covalent interactions between transmembrane (TM) alpha-helices are important in a variety of biological processes. Experimental and computational studies have shown that van der Waals interactions play an important role in the tight packing between TM alpha-helices, although polar interactions can also be important in some instances. Based on the assumption that van der Waals interaction alone is sufficient for a meso-scale (residue-scale) description of the interaction between TM alpha-helices, we have designed a novel residue-scale scoring function for modeling structures of oligomers of TM alpha-helices. We first calculated atomistic van der Waals interaction energies between two amino acids, X and Y, of a pair of parallel alpha-helices, glycine-X-glycine and glycine-Y-glycine and compiled them according to three variables, the distance between the two C(alpha) atoms and the rotational angles of X and Y about their helical axes. Upon averaging over the rotational angles, we obtained one-dimensional interaction energy profiles that are functions of the distance between C(alpha) atoms only. Each of the interaction energy profiles was fitted with a generic fitting function of the distance between C(alpha) atoms, yielding analytical scoring functions for all possible amino acid pairs. For glycophorin A, neu/erbB-2, and phospholamban, lowest-energy conformations obtained through exhaustive scanning of the entire conformational space using the scoring functions were compatible with available experimental data.
跨膜(TM)α-螺旋之间特定的非共价相互作用在多种生物过程中都很重要。实验和计算研究表明,范德华相互作用在TMα-螺旋的紧密堆积中起着重要作用,尽管在某些情况下极性相互作用也可能很重要。基于仅范德华相互作用就足以对TMα-螺旋之间的相互作用进行中观尺度(残基尺度)描述的假设,我们设计了一种新颖的残基尺度评分函数,用于对TMα-螺旋寡聚体的结构进行建模。我们首先计算了一对平行α-螺旋(甘氨酸-X-甘氨酸和甘氨酸-Y-甘氨酸)中两个氨基酸X和Y之间的原子级范德华相互作用能,并根据三个变量(两个Cα原子之间的距离以及X和Y围绕其螺旋轴的旋转角度)对它们进行整理。对旋转角度进行平均后,我们得到了仅作为Cα原子之间距离函数的一维相互作用能分布。每个相互作用能分布都用Cα原子之间距离的通用拟合函数进行拟合,从而得到所有可能氨基酸对的解析评分函数。对于血型糖蛋白A、神经/表皮生长因子受体-2和受磷蛋白,使用评分函数对整个构象空间进行详尽扫描所获得的最低能量构象与现有的实验数据相符。