基于X射线晶体学数据的蛋白质结构的贝叶斯多态多条件建模
Matthew Hancock1, James Holton2,3,4, James S Fraser1
1Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
bioRxiv : the preprint server for biology
|November 24, 2025
概括
多X射线软件使用多个X射线数据集和力场来建模蛋白质构造. 这种贝叶斯式方法通过在各种实验条件下捕捉各种蛋白质状态来提高原子结构的准确性.
科学领域:
- 结构生物学 结构生物学
- 生物物理学的生物物理.
- 计算生物学 计算生物学
背景情况:
- 蛋白质的原子结构是从晶体X射线衍射图案中确定的.
- 晶体学通常产生单个原子模型,但蛋白质存在于多个构造状态.
- 一个单一的模型可能不能完全代表蛋白质的动态性质和X射线数据.
研究的目的:
- 开发和验证MultiXray,这是一个贝叶斯的方法,用于X射线晶体学中的多状态,多条件建模.
- 通过整合在不同的实验条件下收集的多个X射线数据集来提高蛋白质结构的准确性.
- 为了应对在多状态建模中较低的数据对参数比率的挑战.
主要方法:
- 多Xray利用多个X射线数据集和分子力学力场作为输入.
- 它模拟了多个蛋白质构造状态及其在每个条件下的相应重量.
- 贝叶斯后方模型密度和偏向分子动力学模拟用于模型生成和改进.
主要成果:
- 对模拟的CypA数据的基准测试显示,第二个X射线数据集的R-free从0.105提高到0.089.
- 应用于SARS-CoV-2 Mpro的温度依赖数据,R-free从0.253提高到0.237.
- 该方法成功地整合了各种实验数据,以改进结构模型.
结论:
- 多Xray通过结合多个构造状态和实验条件来提高蛋白质结构建模的准确性.
- 多个X射线数据集的集成显著提高了模型质量.
- MultiXray 在开源集成建模平台 (IMP) 软件中实现,与 Phenix 兼容,促进了更广泛的应用.
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