蛋白质复杂结构建模通过冷EM图和蛋白质序列之间的交叉模式对齐
Sheng Chen1, Sen Zhang1, Xiaoyu Fang1
1School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China.
Nature communications
|October 11, 2024
概括
EModelX是一种使用冷电子显微镜 (cryo-EM) 数据进行蛋白质复杂建模的新型自动化方法. 它通过将冷电磁图与蛋白质序列对齐来准确地重建蛋白质结构,改进了现有的技术.
科学领域:
- 结构生物学 结构生物学
- 计算生物学 计算生物学
- 生物物理学的生物物理.
背景情况:
- 电子显微镜 (cryo-EM) 是确定蛋白质复杂结构的关键技术.
- 现有的自动化建模方法往往由于链分离中的错误而失败,没有序列指导.
- 噪音和冷EM图中的交链相互作用可能导致不准确的蛋白质结构模型.
研究的目的:
- 从冷EM数据开发一种完全自动化的蛋白质复杂结构建模方法.
- 为了提高基于冷EM的蛋白质结构确定的准确性和可靠性.
- 为强大的冷电磁模型构建提供序列导向的方法.
主要方法:
- EModelX使用多任务深度学习来预测Cα原子,骨干原子和氨基酸类型从冷EM地图.
- 它使用冷电磁密度图和蛋白质序列之间的交叉模式对齐进行建模.
- 序列引导的Cα线程用于填补空白并完善最终的结构模型.
主要成果:
- 在恢复PDB沉积结构时,EModelX实现了1.17 Å的平均RMSD,证明了接近原子级的精度.
- 该方法的最终模型达到0.808的平均TM得分,超过了最先进的技术.
- 将EModelX与AlphaFold结合使用进一步改善了TM平均得分,达到0.911.
结论:
- EModelX为冷-EM蛋白质复杂结构建模提供了一个强大的,自动化的解决方案.
- 序列导向方法显著提高了模型的准确性和可靠性.
- EModelX有可能改进现有的蛋白质数据库 (PDB) 结构,并推进结构生物学研究.
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