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首页> 外文期刊>The Journal of Chemical Physics >The effect of sequence on the conformational stability of a model heteropolymer in explicit water
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The effect of sequence on the conformational stability of a model heteropolymer in explicit water

机译:序列对显性水中模型杂聚物构象稳定性的影响

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We investigate the properties of a two-dimensional lattice heteropolymer model for a protein in which water is explicitly represented. The model protein distinguishes between hydrophobic and polar monomers through the effect of the hydrophobic monomers on the entropy and enthalpy of the hydrogen bonding of solvation shell water molecules. As experimentally observed, model heteropolymer sequences fold into stable native states characterized by a hydrophobic core to avoid unfavorable interactions with the solvent. These native states undergo cold, pressure, and thermal denaturation into distinct configurations for each type of unfolding transition. However, the heteropolymer sequence is an important element, since not all sequences will fold into stable native states at positive pressures. Simulation of a large collection of sequences indicates that these fall into two general groups, those exhibiting highly stable native structures and those that do not. Statistical analysis of important patterns in sequences shows a strong tendency for observing long blocks of hydrophobic or polar monomers in the most stable sequences. Statistical analysis also shows that alternation of hydrophobic and polar monomers appears infrequently among the most stable. sequences. These observations are not absolute design rules and, in practice, these are not sufficient to rationally design very stable heteropolymers. We also study the effect of mutations on improving the stability of the model proteins, and demonstrate that it is possible to obtain a very stable heteropolymer from directed evolution of an initially unstable heteropolymer. (c) 2008 American Institute of Physics.
机译:我们研究了其中明确表示水的蛋白质的二维晶格杂聚物模型的特性。模型蛋白通过疏水单体对溶剂化壳层水分子氢键的熵和焓的影响来区分疏水单体和极性单体。如实验观察到的,模型杂聚物序列折叠成稳定的天然状态,其特征是疏水核,以避免与溶剂发生不利的相互作用。这些原始状态会针对每种类型的展开转变经历冷,压和热变性,变成不同的构型。然而,杂聚物序列是重要的元素,因为并非所有序列在正压下都会折叠成稳定的天然状态。大量序列的仿真表明,这些序列分为两个大类,即表现出高度稳定的天然结构的序列和不表现出天然结构的序列。对序列中重要模式的统计分析表明,有很强的趋势可以观察到最稳定序列中疏水或极性单体的长嵌段。统计分析还表明,疏水性和极性单体的交替在最稳定的情况中很少出现。序列。这些观察结果不是绝对的设计规则,实际上,这些观察值不足以合理地设计非常稳定的杂聚物。我们还研究了突变对改善模型蛋白稳定性的影响,并证明有可能从最初不稳定的杂聚物的定向进化中获得非常稳定的杂聚物。 (c)2008年美国物理研究所。

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