通过生物信息分析分析发现氨酸催化策略和功能
Aileen R Lee1, Riley S Carter2,3, Aman S Imani1
1Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota-Twin Cities, St. Paul, Minnesota 55108, United States.
ACS chemical biology
|May 2, 2024
概括
这项研究引入了更新的RODEO工具,用于识别氨酸生物合成基因集群. 它揭示了一个新的化氨酸域架构和一个新的基质为shewasin A酶.
科学领域:
- 生物化学 生物化学
- 生物信息学是一种生物信息学.
- 发现自然产品的发现
背景情况:
- 氨酸是通过核糖体合成和翻译后修改的 (RiPPs) 具有骨干α-N-甲基化.
- 这些修改增强了诸如膜透性和蛋白酶耐药性等药物动力学特性.
- 之前的研究已经确定了多样化的氨酸域架构和核心区域,使其生物合成基因的大规模计算识别变得复杂.
研究的目的:
- 更新基因组挖掘工具RODEO,以自动评估氨酸生物合成基因集群 (BGC) 和识别前体.
- 在NCBI数据库中提供氨酸BGC的最新分析.
- 为了发现新的氨酸生物合成策略和酶功能.
主要方法:
- 更新RODEO基因组挖掘工具,以一个新的模块用于氨酸BGC分析.
- 来自NCBI数据库的氨酸BGCs的生物信息分析.
- 一个新的化氨酸域架构的实验性表征和对shewasin A.的基质识别.
主要成果:
- 更新后的RODEO工具可以自动评估蛋白BGCs,并识别前体.
- 生物信息学预测了一种新的化氨酸域架构,并通过实验进行了表征.
- 一种素前体被确定为shewasin A的原生基质,需要领导的修改才能成熟.
结论:
- 增强的RODEO工具可方便用户友好和开放的氨酸BGCs的分析.
- 这项工作揭示了一种新的化氨酸域架构以及她在A.wasin中的独特成熟机制.
- 这些发现扩大了对RiPPs的氨酸类中的生物合成策略的理解.
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