Muñoz V, Serrano L
EMBL, Heidelberg, Germany.
J Mol Biol. 1995 Jan 20;245(3):275-96. doi: 10.1006/jmbi.1994.0023.
Explaining the helical behaviour of amino acid sequences in solution could be one of the first steps in solving the protein folding problem in a rational way. The information about the conformational behaviour of helical peptides in solution, as well as the alpha-helix stability in proteins, has been utilised to derive a database with the energy contributions for various interaction taking place in an alpha-helix: intrinsic helical propensities, side-chain to side-chain interactions, main-chain to main-chain hydrogen bonds, and capping effects. This database was implemented in a algorithm based on the helix-coil transition theory (AGADIR). Here, the effects on helix stability due to interactions between charged groups and the helix macrodipole are described, quantified and implemented in AGADIR. The algorithm correctly calculates the average helical behaviour in solution of 423 peptides analysed by circular dichroism and it describes the helicity at a residue level, as found when comparing the prediction for each amino acid residue with the data derived from nuclear magnetic resonance studies. Using AGADIR we have done a rational modification of peptides corresponding to protein secondary structure elements in order to increase their helical content. The circular dichroism analysis of the mutant peptides showed a very good agreement between the experimental and calculated helical content. Moreover, in certain specific cases in which strong tertiary contacts in folded proteins do not exist, the algorithm successfully predicts the length of mutagenised alpha-helices. It is interesting to note that the final values of the parameters used do not significantly differ in absolute terms from those extracted from mutagenesis studies in proteins. This indicates that the same physico-chemical principles stand for both systems.
解释溶液中氨基酸序列的螺旋行为可能是以合理方式解决蛋白质折叠问题的首要步骤之一。有关螺旋肽在溶液中的构象行为以及蛋白质中α-螺旋稳定性的信息已被用于构建一个数据库,该数据库包含α-螺旋中各种相互作用的能量贡献:内在螺旋倾向、侧链与侧链相互作用、主链与主链氢键以及封端效应。这个数据库被应用于基于螺旋-卷曲转变理论的算法(AGADIR)中。在此,描述、量化了带电基团与螺旋大偶极之间的相互作用对螺旋稳定性的影响,并将其应用于AGADIR算法中。该算法正确计算了通过圆二色性分析的423种肽在溶液中的平均螺旋行为,并在残基水平上描述了螺旋度,这与将每个氨基酸残基的预测结果与核磁共振研究得出的数据进行比较时所发现的情况一致。使用AGADIR,我们对与蛋白质二级结构元件相对应的肽进行了合理修饰,以增加它们的螺旋含量。突变肽的圆二色性分析表明,实验测得的螺旋含量与计算值非常吻合。此外,在折叠蛋白中不存在强三级相互作用的某些特定情况下,该算法成功预测了诱变α-螺旋的长度。值得注意的是,所使用参数的最终值在绝对值上与从蛋白质诱变研究中提取的值并无显著差异。这表明两个系统遵循相同的物理化学原理。