Mayo Clinic, 13400 E Shea Blvd, Scottsdale, AZ 85259, USA.
J Comput Aided Mol Des. 2011 Oct;25(10):895-911. doi: 10.1007/s10822-011-9470-9. Epub 2011 Sep 9.
Membrane proteins comprise a significant fraction of the proteomes of sequenced organisms and are the targets of approximately half of marketed drugs. However, in spite of their prevalence and biomedical importance, relatively few experimental structures are available due to technical challenges. Computational simulations can potentially address this deficit by providing structural models of membrane proteins. Solvation within the spatially heterogeneous membrane/solvent environment provides a major component of the energetics driving protein folding and association within the membrane. We have developed an implicit solvation model for membranes that is both computationally efficient and accurate enough to enable molecular mechanics predictions for the folding and association of peptides within the membrane. We derived the new atomic solvation model parameters using an unbiased fitting procedure to experimental data and have applied it to diverse problems in order to test its accuracy and to gain insight into membrane protein folding. First, we predicted the positions and orientations of peptides and complexes within the lipid bilayer and compared the simulation results with solid-state NMR structures. Additionally, we performed folding simulations for a series of host-guest peptides with varying propensities to form alpha helices in a hydrophobic environment and compared the structures with experimental measurements. We were also able to successfully predict the structures of amphipathic peptides as well as the structures for dimeric complexes of short hexapeptides that have experimentally characterized propensities to form beta sheets within the membrane. Finally, we compared calculated relative transfer energies with data from experiments measuring the effects of mutations on the free energies of translocon-mediated insertion of proteins into lipid bilayers and of combined folding and membrane insertion of a beta barrel protein.
膜蛋白构成了已测序生物的蛋白质组的重要部分,也是大约一半上市药物的靶点。然而,尽管它们普遍存在且具有重要的生物医学意义,但由于技术挑战,可用的实验结构相对较少。计算模拟可以通过提供膜蛋白的结构模型来解决这一不足。在空间异质的膜/溶剂环境中溶剂化提供了蛋白质在膜内折叠和聚集的驱动力的主要成分。我们开发了一种用于膜的隐式溶剂化模型,该模型既具有计算效率,又足够准确,可以对肽在膜内的折叠和聚集进行分子力学预测。我们使用无偏拟合程序从实验数据中得出了新的原子溶剂化模型参数,并将其应用于各种问题以测试其准确性,并深入了解膜蛋白折叠。首先,我们预测了肽和复合物在脂质双层中的位置和取向,并将模拟结果与固态 NMR 结构进行了比较。此外,我们对一系列具有不同形成疏水环境中α螺旋倾向的主体-客体肽进行了折叠模拟,并将结构与实验测量结果进行了比较。我们还能够成功预测两亲肽的结构以及具有实验表征的在膜内形成β片层倾向的短六肽二聚体复合物的结构。最后,我们将计算得到的相对转移能与实验数据进行了比较,该实验数据测量了突变对蛋白质跨膜转运插入脂质双层自由能的影响,以及β桶蛋白的折叠和膜插入的综合影响。