Department of Biochemistry, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.
J Am Chem Soc. 2012 Aug 1;134(30):12732-41. doi: 10.1021/ja3042004. Epub 2012 Jul 18.
We recently developed an orthogonal, high-throughput assay to identify peptides that self-assemble into potent, equilibrium pores in synthetic lipid bilayers. Here, we use this assay as a high-throughput screen to select highly potent pore-forming peptides from a 7776-member rational combinatorial peptide library based on the sequence of the natural pore-forming peptide toxin melittin. In the library we varied ten critical residues in the melittin sequence, chosen to test specific structural hypotheses about the mechanism of pore formation. Using the new high-throughput assay, we screened the library for gain-of-function sequences at a peptide to lipid ratio of 1:1000 where native melittin is not active. More than 99% of the library sequences were also inactive under these conditions. A small number of library members (0.1%) were highly active. From these we identified 14 potent, gain-of-function, pore-forming sequences. These sequences differed from melittin in only 2-6 amino acids out of 26. Some native residues were highly conserved and others were consistently changed. The two factors that were essential for gain-of-function were the preservation of melittin's proline-dependent break in the middle of the helix and the improvement and extension the amphipathic nature of the α-helix. In particular the highly cationic carboxyl-terminal sequence of melittin, is consistently changed in the gain-of-function variants to a sequence that it is capable of participating in an extended amphipathic α-helix. The most potent variants reside in a membrane-spanning orientation, in contrast to the parent melittin, which is predominantly surface bound. This structural information, taken together with the high-throughput tools developed for this work, enable the identification, refinement and optimization of pore-forming peptides for many potential applications.
我们最近开发了一种正交的高通量测定法,用于鉴定能在合成脂质双层中自组装成有效平衡孔的肽。在这里,我们使用该测定法作为高通量筛选方法,从基于天然孔形成肽毒素蜂毒素序列的 7776 成员理性组合肽文库中选择高活性的孔形成肽。在文库中,我们改变了蜂毒素序列中的十个关键残基,选择了十个关键残基来测试有关孔形成机制的具体结构假设。使用新的高通量测定法,我们在肽与脂质比为 1:1000 的条件下筛选文库,以获得功能序列,而天然蜂毒素在该条件下不活跃。在这些条件下,超过 99%的文库序列也不活跃。一小部分文库成员(0.1%)具有高度活性。我们从这些文库中鉴定出 14 种有效,有功能的孔形成序列。这些序列与蜂毒素在 26 个氨基酸中仅相差 2-6 个氨基酸。一些天然残基高度保守,而另一些则始终发生变化。获得功能所必需的两个因素是保持蜂毒素在螺旋中间的脯氨酸依赖性断裂,以及改善和扩展α螺旋的两亲性。特别是蜂毒素的带正电荷的羧基末端序列,在功能获得变体中始终改变为能够参与扩展的两亲性α螺旋的序列。最有效的变体位于跨膜取向中,与主要为表面结合的亲本蜂毒素相反。这种结构信息,加上为此项工作开发的高通量工具,使我们能够鉴定、改进和优化用于许多潜在应用的孔形成肽。