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Influence of solvation on the helix-forming tendency of nonpolar amino acids

机译:溶剂化对非极性氨基酸螺旋形成趋势的影响

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This paper presents a computational study on helix folding and unfolding of length 10 homopeptides composed of the nonpolar amino acids methionine, alanine, leucine, phenylalanine, isoleucine, valine and glycine. We apply a Monte Carlo Simulated Annealing (MCSA) framework to derive energetic parameters which allow to differentiate between α-helix formers and helix breakers within this group of peptides, and especially emphasize solvation effects, modeled via a continuum approximation, on folding pathways and respective α-helix stability. Computed differences in potential energies of random coil and folded states clearly sow methionine, alanine and leucine as helix formers, whereas phenylalanine, and in particular isoleucine, valine and glycine may be considered as helix destabilizing. This finding is also reflected by helix unfolding simulations, which indicate considerable helix stability for the first group of peptides, but enhanced unfolding for the latter four. Solvation effects do certainly affect the putative helix formation pathways for the seven model peptides considered and the paper presents a detailed analysis on correlations between changes in potential energy as well as changes in total solvation (which is also factorized into its contributions derived from hydrophobic and hydrophilic surface areas) in respective folding and unfolding pathways. Correlation analysis of MCSA runs under co-optimization of potential and solvation energies shows that solvation, in particular during the early stage, counteracts the potential energy-driven folding process. Decreased and increases of potential and solvation energies are inversely correlated. We interpret these results as such that potential energy minima are frequently associated with solvation energy maxima on the folding energy landscape, in particular the early stage of folding. This on the one hand prevents folds from being trapped in local minima of potential energy. On the other hand this mechanics could decrease the total number of actually accessible points on the folding energy landscape (which have to be characterized as a co-optimum of potential and solvation energy), which would better define the folding pathway towards the native structure. The correlation analysis shows that the helix formers methionine, alanine, and leucine have reached such a combined optimum of potential and solvation energy at the α-helical state, whereas helix destabilizing residues as isoleucine, valine and glycine unfold the helix, driven by a combination of both, potential energies and solvation energy status.
机译:本文介绍了由非极性氨基酸蛋氨酸,丙氨酸,亮氨酸,苯丙氨酸,异亮氨酸,缬氨酸和甘氨酸组成的长度为10的同肽的螺旋折叠和展开的计算研究。我们应用蒙特卡洛模拟退火(MCSA)框架来导出能量参数,这些参数可以区分这组肽段中的α-螺旋形成剂和螺旋破坏剂,并且特别强调通过连续近似计算建模的溶剂化效应,包括折叠途径和各自α-螺旋稳定性。计算得出的无规卷曲态和折叠态势能的差异清楚地表明,甲硫氨酸,丙氨酸和亮氨酸是螺旋形成剂,而苯丙氨酸,尤其是异亮氨酸,缬氨酸和甘氨酸则被认为是螺旋失稳。螺旋展开模拟也反映了这一发现,螺旋展开模拟表明第一组肽具有相当大的螺旋稳定性,而后四组则增强了展开。溶剂化作用确实会影响所考虑的七个模型肽的假定螺旋形成途径,并且本文对势能变化与总溶剂化变化之间的相关性进行了详细分析(这也归因于其从疏水性和亲水性产生的贡献表面积)在各自的折叠和展开路径中。 MCSA的相关性分析在势能和溶剂化能的共同优化下进行,结果表明溶剂化,尤其是在早期阶段,抵消了势能驱动的折叠过程。势能和溶剂化能的减少与增加成反比。我们将这些结果解释为,势能极小值通常与折叠能态(尤其是折叠的早期阶段)上的溶剂化能最大值相关。一方面,这防止了折叠被困在势能的局部最小值中。另一方面,这种机制可以减少折叠能量景观上的实际可访问点的总数(必须将其表征为势能和溶剂化能量的共同优化),从而更好地定义通往天然结构的折叠路径。相关分析表明,螺旋形成的蛋氨酸,丙氨酸和亮氨酸在α-螺旋状态下已达到势能和溶剂化能的最佳组合,而螺旋不稳定的残基(如异亮氨酸,缬氨酸和甘氨酸)则通过组合驱动而展开螺旋势能和溶剂化能级的关系

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