偏差在AlphaFold3预测的酶中的联结体诱导的域运动
Hao Yu1, Ayse A Bekar-Cesaretli2, Maria Lazou3
1Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215.
概括
使用AlphaFold 3进行酶域运动预测受到现有的蛋白质数据的影响. 模型的形状取决于apo与holo结构的比例,显示"记忆"效应.
科学领域:
- 生物化学 生物化学
- 结构生物学 结构生物学
- 计算生物学 计算生物学
背景情况:
- 酶催化通常涉及开放和关闭状态之间的域移动.
- 了解连接体诱导的域运动对于酶功能研究至关重要.
研究的目的:
- 通过使用AlphaFold 3 (AF3) 调查82种酶的联结体诱导域运动.
- 评估现有的蛋白质数据库 (PDB) 结构对AF3预测的影响.
主要方法:
- 为具有和没有已知的触发器连接体的酶生成AF3模型集.
- 对PDB中可用的apo和holo结构的数量进行分析的模型构造.
- 将AF3预测与AlphaFold2结果进行比较.
主要成果:
- AF3模型形状受到PDB的apo/holo结构比重的严重影响,这表明了"记忆"效应.
- 添加干具有中等影响,除了具有有限训练数据的蛋白质外.
- 非结合性联结体诱导了类似的域运动,预测联结体信心得分 (pLDDT) 较低.
- AlphaFold2显示了类似的记忆效应酶与更多的Holo比Apo结构.
结论:
- PDB数据组成显著影响AF3对酶域运动的预测.
- 连接物结合预测的准确性与可用的全结构的多样性相关.
- 预测模型中的记忆效应强调了多样化的培训数据集的重要性.
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