Muñoz V, Serrano L
European Molecular Biology Laboratory, Heidelberg, Germany.
Proteins. 1994 Dec;20(4):301-11. doi: 10.1002/prot.340200403.
Today there are several different experimental scales for the intrinsic alpha-helix as well as beta-strand propensities of the 20 amino acids obtained from the thermodynamic analysis of various model systems. These scales do not compare well with those extracted from statistical analysis of three-dimensional structure databases. Possible explanations for this could be the limited size of the databases used, the definitions of intrinsic propensities, or the theoretical approach. Here we report a statistical determination of alpha-helix and beta-strand propensities derived from the analysis of a database of 279 three-dimensional structures. Contrary to what has been generally done, we have considered a particular residue as in alpha-helix or beta-strand conformation by looking only at its dihedral angles (phi-psi matrices). Neither the identity nor the conformation of the surrounding residues in the amino acid sequence has been taken into consideration. Pseudoenergy empirical scales have been calculated from the statistical propensities. These scales agree very well with the experimental ones in relative and absolute terms. Moreover, its correlation with the average of the experimental scales for alpha-helix or beta-strand is as good as the correlations of the individual experimental scales with the average. These results show that by using a large enough database and a proper definition for the secondary structure propensities, it is possible to obtain a scale as good as any of experimental origin. Interestingly the phi-psi analysis of the Ramachandran plot suggests that the amino acids could have different beta-strand propensities in different subregions of the beta-strand area.
如今,通过对各种模型系统进行热力学分析,已得出了几种不同的实验尺度,用于衡量20种氨基酸的内在α-螺旋以及β-链倾向。这些尺度与从三维结构数据库的统计分析中提取的尺度相比,效果不佳。对此可能的解释包括所使用数据库的规模有限、内在倾向的定义,或理论方法。在此,我们报告了一项基于对279个三维结构数据库的分析得出的α-螺旋和β-链倾向的统计测定结果。与通常做法不同的是,我们仅通过查看特定残基的二面角(φ-ψ矩阵)来确定其处于α-螺旋或β-链构象。氨基酸序列中周围残基的身份和构象均未被考虑在内。已根据统计倾向计算出了伪能量经验尺度。这些尺度在相对和绝对方面都与实验尺度非常吻合。此外,它与α-螺旋或β-链实验尺度平均值的相关性,与各个实验尺度与该平均值的相关性一样好。这些结果表明,通过使用足够大的数据库以及对二级结构倾向进行恰当定义,有可能获得与任何实验来源的尺度一样好的尺度。有趣的是,拉氏图的φ-ψ分析表明,氨基酸在β-链区域的不同子区域可能具有不同的β-链倾向。