共同建模深度突变扫描识别了SARS-CoV-2尖端同类物之间转移的突变效应
Hugh K Haddox1, Jared G Galloway1, Bernadeta Dadonaite2
1Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA.
bioRxiv : the preprint server for biology
|August 14, 2023
概括
深度突变扫描 (DMS) 有助于分析蛋白质突变. 我们的新方法识别了SARS-CoV-2变种突变效应的显著转变,区分生物信号和噪音.
科学领域:
- 蛋白质工程和生物信息学
- 病毒学和分子生物学.
- 计算生物学和统计建模.
背景情况:
- 深度突变扫描 (DMS) 是一种强大的技术,用于评估蛋白质突变的功能影响.
- 在蛋白质同类或实验条件中比较DMS数据对于理解生物适应至关重要.
- 从实验噪音中区分突变效应的真实生物转变是一个重大挑战.
结论:
- 这项工作提供了一个强大的计算框架,用于对DMS实验进行比较分析.
- 该方法有效地识别了突变效应的生物相关转变.
- 这种方法提升了我们对病毒进化和蛋白质功能的理解.
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