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Outer membrane protein folding and topology from a computational transfer free energy scale

机译:通过计算转移自由能规模进行外膜蛋白折叠和拓扑

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摘要

Knowledge of the transfer free energy of amino acids from aqueous solution to a lipid bilayer is essential for understanding membrane protein folding and for predicting membrane protein structure. Here we report a computational approach that can calculate the folding free energy of the transmembrane region of outer membrane β-barrel proteins (OMPs) by combining an empirical energy function with a reduced discrete state space model. We quantitatively analyzed the transfer free energies of 20 amino acid residues at the center of the lipid bilayer of OmpLA. Our results are in excellent agreement with the experimentally derived hydrophobicity scales. We further exhaustively calculated the transfer free energies of 20 amino acids at all positions in the TM region of OmpLA. We found that the asymmetry of the gram-negative bacterial outer membrane as well as the TM residues of an OMP determine its functional fold in vivo. Our results suggest that the folding process of an OMP is driven by the lipid-facing residues in its hydrophobic core, and its NC-IN topology is determined by the differential stabilities of OMPs in the asymmetrical outer membrane. The folding free energy is further reduced by lipid A and assisted by general depth-dependent cooperativities that exist between polar and ionizable residues. Moreover, context-dependency of transfer free energies at specific positions in OmpLA predict regions important for protein function as well as structural anomalies. Our computational approach is fast, effcient and applicable to any OMP.
机译:氨基酸从水溶液到脂质双层的转移自由能的知识对于理解膜蛋白折叠和预测膜蛋白结构至关重要。在这里,我们报告了一种计算方法,该方法可以通过将经验能量函数与简化的离散状态空间模型相结合来计算外膜β-桶蛋白(OMP)跨膜区域的折叠自由能。我们定量分析了OmpLA脂质双层中心的20个氨基酸残基的转移自由能。我们的结果与实验得出的疏水性等级非常吻合。我们进一步详尽地计算了OmpLA TM区域中所有位置的20个氨基酸的转移自由能。我们发现,革兰氏阴性细菌外膜的不对称性以及OMP的TM残基决定了其在体内的功能折叠。我们的结果表明,OMP的折叠过程受其疏水核心中面向脂质的残基驱动,而其NC-IN拓扑结构由OMP在不对称外膜中的不同稳定性决定。脂质A进一步降低了折叠自由能,并在极性残基和可电离残基之间存在着一般的深度依赖性协同作用。此外,OmpLA中特定位置的转移自由能的上下文相关性可预测对蛋白质功能以及结构异常重要的区域。我们的计算方法快速,高效并且适用于任何OMP。

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