在使用结构字母表的晶体结构模型中探索可疑的脊柱形状
Clémence Sarrau1, Marine Baillif1, Lucas Mantel1
1Université Paris Cité, Unité de Biologie Fonctionnelle et Adaptative (BFA) CNRS UMR 8251 - In Silico Pharmacological Profiling (IsPP) INSERM U1133, F-75205 Paris CEDEX 13, France.
Acta crystallographica. Section D, Structural biology
|November 24, 2025
概括
研究人员开发了一种方法,在X射线模型中识别可疑的蛋白质脊柱形状. 超过18%的残留物显示出这种形状,可能会影响结构数据的解释和生物相关性.
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:
- 射线晶体学对于蛋白质结构的确定至关重要,它贡献了80%以上的蛋白质数据库模型.
- 晶体学模型,即使是高分辨率的模型,也可能包含来自结晶,建模和改进的工件和错误.
- 这些局限性可能导致原子位置不准确,导致局部或全球结构扭曲.
研究的目的:
- 在X射线蛋白质结构模型中开发一种可靠的协议,用于识别具有可疑脊柱形状的残留物.
- 量化这些形状的普遍性,并分析它们的特征.
- 研究可疑形状对特定蛋白质结构及其生物相关性的影响.
主要方法:
- 使用了一组826个非冗余的X射线蛋白质结构模型.
- 每个模型都经历了能量最小化,以放松原子几何.
- 使用HMM-SA结构字母来识别显示X射线和最小化模型之间的结构差异的残留物.
主要成果:
- 分析集中的18%以上的残留物表现出可疑的骨干形状.
- 这些形状独立于模型分辨率,沉积日期或晶体系统.
- 在可疑的形状和二次结构之间观察到相关性,在α螺旋中表现过多.
- 对HIV-2蛋白酶 (1hsi) 的分析显示,可疑的构造可能会影响功能重要区域,如结合部位片.
结论:
- 一个新的协议有效地量化和定位了X射线模型中可疑的脊柱形状.
- 这些已识别的形状可能是结构异常值或稀少样本状态,可能会影响生物学解释.
- 这些发现强调了需要仔细评估从X射线结晶学中获得的蛋白质模型的需要.
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