Department of Chemistry, Center for Advanced Scientific Computing and Modeling (CASCaM), University of North Texas, Denton, TX 76203-5017, USA.
J Mol Model. 2012 Jun;18(6):2527-41. doi: 10.1007/s00894-011-1276-0. Epub 2011 Oct 27.
One potential means to decrease the level of atmospheric carbon dioxide is through the utilization of protein-CO(2) interactions. A recent bioinformatics analysis [Cundari TR et al. (2009) J Chem Inf Model 49:2111-2115] of these interactions revealed a marked disparity in CO(2) affinity between α-helices and β-sheets. In order to understand this difference, a series of molecular dynamics simulations was performed on polypeptide model systems. Numerous factors that may influence CO(2) affinity were systematically investigated, including the specific location of the amino acids within the secondary structural elements (SSEs), the partial charges on CO(2), chemical modifications made to the protein backbone, the inclusion of singly, doubly, and many functionalized residues, and the effect of solvent water. The differing abilities of the secondary structure types to participate in hydrogen bonding along the backbone were identified as being a crucial influence on CO(2) affinity; the lesser role of polypeptide-CO(2) electrostatic interactions was also noted. The effect of incorporating functionalized amino acid side chains, such as those possessed by Arg and His, on the affinity differs between the two structure types, and also strongly depends on the number included and the distance between them. The inclusion of explicit water molecules was found to attenuate all interactions, but did not change the overall trends in CO(2) affinity. Collectively, these results highlight the role of the backbone atoms in binding the CO(2) ligand, which will have important implications for efforts to ameliorate atmospheric carbon dioxide through the use of natural, designed, and modified proteins.
一种降低大气二氧化碳水平的潜在方法是利用蛋白质与二氧化碳的相互作用。最近的生物信息学分析[Cundari TR 等人(2009)J Chem Inf Model 49:2111-2115]揭示了α-螺旋和β-折叠之间在二氧化碳亲和力方面存在显著差异。为了理解这种差异,对多肽模型系统进行了一系列分子动力学模拟。系统地研究了可能影响二氧化碳亲和力的许多因素,包括氨基酸在二级结构元件(SSE)中的特定位置、二氧化碳的部分电荷、对蛋白质主链的化学修饰、单、双和多功能化残基的包含以及溶剂水的影响。确定二级结构类型沿主链参与氢键的不同能力是影响二氧化碳亲和力的关键因素;还注意到多肽-二氧化碳静电相互作用的作用较小。包含功能性氨基酸侧链(如 Arg 和 His 所具有的侧链)对两种结构类型的亲和力的影响不同,并且强烈依赖于包含的数量和它们之间的距离。包含显式水分子被发现会减弱所有相互作用,但不会改变二氧化碳亲和力的总体趋势。总之,这些结果突出了主链原子在结合二氧化碳配体中的作用,这对于通过使用天然、设计和修饰的蛋白质来改善大气二氧化碳水平的努力将具有重要意义。