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蛋白质进化的稳定性约束模型预测的替换率与经验数据不一致。

Substitution Rates Predicted by Stability-Constrained Models of Protein Evolution Are Not Consistent with Empirical Data.

作者信息

Jimenez María José, Arenas Miguel, Bastolla Ugo

机构信息

Centro de Biologia Molecular "Severo Ochoa" CSIC-UAM Cantoblanco, Madrid, Spain.

Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, Spain.

出版信息

Mol Biol Evol. 2018 Mar 1;35(3):743-755. doi: 10.1093/molbev/msx327.

Abstract

Protein structures strongly influence molecular evolution. In particular, the evolutionary rate of a protein site depends on the number of its native contacts. Stability-constrained models of protein evolution consider this influence of protein structure on evolution by predicting the effect of mutations on the stability of the native state, but they currently neglect how mutations affect the protein structure. These models predict that buried protein sites with more native contacts are more constrained by natural selection and less variable, as observed. Nevertheless, previous work did not consider the stability against compact misfolded conformations, although it is known that the negative design that destabilizes these misfolded conformations influences protein evolution significantly. Here, we show that stability-constrained models that consider misfolding predict that site-specific sequence entropy and substitution rate peak at amphiphilic sites with an intermediate number of contacts, as these sites are less constrained than exposed sites with few contacts whose hydrophobicity must be limited. This result holds both for a mean-field model with independent sites and for a pairwise model that takes as a reference the wild-type sequence, but it contrasts with the observations that indicate that the entropy and the substitution rate decrease monotonically with the number of contacts. Our work suggests that stability-constrained models overestimate the tolerance of amphiphilic sites against mutations, either because of the limits of the free energy function or, more importantly in our opinion, because they do not consider how mutations perturb the native protein structure.

摘要

蛋白质结构对分子进化有强烈影响。具体而言,蛋白质位点的进化速率取决于其天然接触数。蛋白质进化的稳定性约束模型通过预测突变对天然状态稳定性的影响来考虑蛋白质结构对进化的这种影响,但它们目前忽略了突变如何影响蛋白质结构。这些模型预测,具有更多天然接触的埋藏蛋白质位点受到自然选择的约束更大且变异性更小,正如所观察到的那样。然而,先前的工作没有考虑对紧密错误折叠构象的稳定性,尽管已知使这些错误折叠构象不稳定的负向设计对蛋白质进化有显著影响。在这里,我们表明,考虑错误折叠的稳定性约束模型预测,位点特异性序列熵和替换率在具有中等接触数的两亲性位点处达到峰值,因为这些位点受到的约束比具有少量接触且疏水性必须受限的暴露位点要小。这一结果对于具有独立位点的平均场模型和以野生型序列为参考的成对模型都成立,但与表明熵和替换率随接触数单调下降的观察结果形成对比。我们的工作表明,稳定性约束模型高估了两亲性位点对突变的耐受性,这要么是由于自由能函数的局限性,要么在我们看来更重要的是,因为它们没有考虑突变如何扰乱天然蛋白质结构。

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