氨基酸替代品的适应性分配法
Mengyi Sun1, Arlin Stoltzfus2,3, David M McCandlish1
1Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
bioRxiv : the preprint server for biology
|October 28, 2024
概括
预测蛋白质中的氨基酸替代具有挑战性. 这项研究揭示了体能效应的最大分布,根据实验数据,准确地模拟分子进化模式,并帮助蛋白质工程.
科学领域:
- 生物物理学的生物物理.
- 计算生物学 计算生物学
- 进化生物学 进化生物学
背景情况:
- 预测蛋白质中氨基酸替代的效果是复杂的.
- 进化研究表明,氨基酸互换性有规律的模式,这在生物信息学和蛋白质设计中很有用.
- 调和这些观察需要分析实验健身数据.
研究的目的:
- 为了使预测单个氨基酸替代效应的困难与观察到的进化模式相协调.
- 为了研究特定氨基酸对的适应性效应 (DFE) 的分布.
- 确定最大模型是否可以解释进化的氨基酸替代模式.
主要方法:
- 分析了来自超过35万个实验性氨基酸替代物的健身数据.
- 描述了380种类型的氨基酸替代物的健身效应 (DFE) 的分布.
- 模拟的DFE使用最大分布,特别是截断的指数分布.
- 评估了净化选择对这些分布的影响.
主要成果:
- 大约25%的氨基酸替代品表现出类似随机突变的广泛DFE,突出显示了蛋白质背景.
- 所有380对特定的DFE都遵循最大 (截断指数) 分布.
- 这种分布的平均值代表了更换选手的可能性,决定了它的形状和尾部概率.
- 最大分布准确地预测了在净化选择下进化的氨基酸替代模式.
结论:
- 最大分布为分子进化提供了一个可调节的模型.
- 这些模型将实验性健身数据与氨基酸变化的进化模式相协调.
- 这些发现对预测突变效应和推进蛋白质工程有意义.
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