结构预测和蛋白质工程为Microcin J25前体识别提供了新的见解
Hui-Ni Tan1, Wei-Qi Liu1, Josh Ho1
1Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan.
ACS chemical biology
|August 20, 2024
概括
研究人员使用人工智能预测Microcin J25 (MccJ25) 生物合成酶的结构. 蛋白质工程验证了关键的结构特征,进步了对这种拉索抗生素生产的理解.
科学领域:
- 微生物学 微生物学
- 结构生物学 结构生物学
- 生物化学 生物化学
背景情况:
- 微信J25 (MccJ25) 是一种拉索抗生素,于1992年发现,具有独特的拉里亚结结构.
- 它的生物合成涉及前体 (McjA) 和两个酶 (McjB和McjC),但复杂的细节仍然基本上未知.
研究的目的:
- 阐明MccJ25生物合成背后的结构和分子机制.
- 利用人工智能来预测抗生素生产中的复杂蛋白质相互作用.
主要方法:
- 利用AlphaFold2来预测McjA,McjB和McjC的三元复杂结构.
- 采用蛋白质工程来验证关键预测的结构特征和酶功能.
- 识别了特定的残留物,参与了McjB.的McjA识别.
主要成果:
- 根据预测的结构,证实了McjB的功能和与McjC的复杂形成,即使是具有互换或分割的域,也基于预测的结构.
- 确定了McjA识别的关键残留物和补偿突变 (McjBM108T),该突变恢复了前体变异 (McjAT-2M) 的功能.
- 预测的AlphaFold2三元复合结构可以作为研究MccJ25生物合成的可行模型.
结论:
- 该研究提出了一个成功的预测验证工作流程,将AI和实验方法结合起来,以获得对MccJ25生物合成的洞察力.
- 证明了McjB域的可塑性,并确定了关键的相互作用点,进步了对拉索抗生素生产的理解.
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