一种基于进化论的模型,用于设计胆酸突变酶
William P Russ1, Matteo Figliuzzi2, Christian Stocker3
1University of Texas Southwestern Medical Center, Dallas, TX, USA.
概括
科学家们利用进化数据开发了一种设计新型蛋白质的方法. 这种方法可以创建具有自然功能和大量序列多样性的酶,为人工蛋白质设计铺平了道路.
科学领域:
- 生物化学
- 蛋白质工程
- 计算生物学
背景情况:
- 酶的合理设计对于基础研究和实际应用至关重要.
- 现有的方法常常与蛋白质序列功能关系的复杂性作斗争.
研究的目的:
- 开发一种基于进化的人工蛋白质设计的一般过程.
- 直接从进化序列数据中学习蛋白质规范的约束.
主要方法:
- 从进化数据中学习蛋白质序列的限制.
- 设计和合成合成基因库.
- 在体内测试基因库,使用定量补充测试.
- 将该过程应用于芳香氨基酸生物合成中的酶化酶.
主要成果:
- 证明了与自然相似的催化功能的设计,具有可里斯马特突变酶的大量序列多样性.
- 表明基于序列的统计模型可以指定功能性蛋白质.
- 在特定的基因组背景下优化生成模型.
- 证实了大量功能蛋白序列的使用.
结论:
- 进化序列数据足以确定蛋白质.
- 开发的过程为一般的人工蛋白质设计提供了基础.
- 这项工作为设计具有理想功能的蛋白质开辟了新的途径.
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