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使用分子动力学模拟和MM/PBSA来预测氨基-tRNA合成酶对非正规氨基酸的多特异性

Dongheon Lee¹, Jong-Il Choi¹

¹Department of Biotechnology and Bioengineering, Chonnam National University, Gwangju, Republic of Korea.

|January 10, 2025

概括

预测氨基酸-tRNA合成酶 (aaRS) 的结合亲和力有助于精确地结合多个非正规氨基酸 (ncAAs). 计算方法,特别是空腔和分散术语,与ncAA特异性的实验数据显示一致.

科学领域:

生物化学生物化学
分子生物学分子生物学
计算化学计算化学

背景情况:

遗传密码的扩展旨在结合多种非正规氨基酸 (ncAAs).
氨基酸-tRNA合成酶 (aaRS) 的特异性至关重要,因为工程变异常常表现出多特异性.
预测结合亲和力对于精确的ncAA整合至关重要.

研究的目的:

评估用于预测aaRS对ncAAs的特异性的计算方法.
为了比较实验性ncAA整合与计算结合亲和力预测.
增强用于遗传密码扩展的特定aaRS的合理设计.

主要方法:

使用正交aaRS/tRNA对与4-Azido-L-phenylalanine (AzF) 和其他四种ncAAs进行表达的sfGFP.
通过对AzF特异性的同质模型构建突变的aaRS结构.
进行了对接研究和分子动力学模拟,用于结合亲和度计算.
利用分子力学/Poisson-Boltzmann表面积 (MM/PBSA),专注于非极性溶解术语.

主要成果:

实验结果表明O-甲基-L-氨酸和AzF的特异性.
计算预测与实验特异性数据进行了比较.
腔和分散术语方法显示与 ncAA 结合亲缘关系的实验发现一致.
MM/PBSA分析强调了非极性溶解术语对表面积术语的有用性.

结论:

计算模拟和能量计算可以提高对ncAAs的aaRS特异性的理解.
腔和分散术语方法显示出预测ncAA特异性的前景.
这些发现可以指导aARS在遗传密码扩展中的特异性的合理设计和预测.

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