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利用化学自由能计算对蛋白质进行脯氨酸和甘氨酸突变的策略。

A strategy for proline and glycine mutations to proteins with alchemical free energy calculations.

机构信息

Department of Chemistry, University of Michigan, Ann Arbor, Michigan, USA.

Biophysics Program, University of Michigan, Ann Arbor, Michigan, USA.

出版信息

J Comput Chem. 2021 Jun 5;42(15):1088-1094. doi: 10.1002/jcc.26525. Epub 2021 Apr 12.

Abstract

Computation of the thermodynamic consequences of protein mutations holds great promise in protein biophysics and design. Alchemical free energy methods can give improved estimates of mutational free energies, and are already widely used in calculations of relative and absolute binding free energies in small molecule design problems. In principle, alchemical methods can address any amino acid mutation with an appropriate alchemical pathway, but identifying a strategy that produces such a path for proline and glycine mutations is an ongoing challenge. Most current strategies perturb only side chain atoms, while proline and glycine mutations also alter the backbone parameters and backbone ring topology. Some strategies also perturb backbone parameters and enable glycine mutations. This work presents a strategy that enables both proline and glycine mutations and comprises two key elements: a dual backbone with restraints and scaling of bonded terms, facilitating backbone parameter changes, and a soft bond in the proline ring, enabling ring topology changes in proline mutations. These elements also have utility for core hopping and macrocycle studies in computer-aided drug design. This new strategy shows slight improvements over an alternative side chain perturbation strategy for a set T4 lysozyme mutations lacking proline and glycine, and yields good agreement with experiment for a set of T4 lysozyme proline and glycine mutations not previously studied. To our knowledge this is the first report comparing alchemical predictions of proline mutations with experiment. With this strategy in hand, alchemical methods now have access to the full palette of amino acid mutations.

摘要

计算蛋白质突变的热力学后果在蛋白质生物物理学和设计中具有很大的前景。 量子化学自由能方法可以提高突变自由能的估计值,并且已经广泛用于小分子设计问题中相对和绝对结合自由能的计算。 原则上,量子化学方法可以解决任何具有适当量子化学途径的氨基酸突变,但确定一种针对脯氨酸和甘氨酸突变产生这种途径的策略是一个持续的挑战。 大多数当前策略仅扰动侧链原子,而脯氨酸和甘氨酸突变也会改变骨架参数和骨架环拓扑。 一些策略还会扰动骨架参数并允许甘氨酸突变。 这项工作提出了一种既能实现脯氨酸突变又能实现甘氨酸突变的策略,该策略包含两个关键要素:带有约束和键合项缩放的双骨架,促进骨架参数变化,以及脯氨酸环中的软键,允许脯氨酸突变中环拓扑变化。 这些元素对于计算机辅助药物设计中的核心跃迁和大环研究也具有实用价值。 对于一组不含脯氨酸和甘氨酸的 T4 溶菌酶突变,与另一种侧链扰动策略相比,这种新策略略有改进,并且对于一组以前未研究过的 T4 溶菌酶脯氨酸和甘氨酸突变,与实验结果吻合良好。 据我们所知,这是第一个将脯氨酸突变的量子化学预测与实验进行比较的报告。 有了这个策略,量子化学方法现在可以使用完整的氨基酸突变调色板。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eafb/8628859/d5ec31ae546a/nihms-1759125-f0001.jpg

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