使用连续静电学强大的结合热点的识别:应用到蛋白的lyszyme
David H Hall1, Laurie E Grove, Christine Yueh
1Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA.
Journal of the American Chemical Society
|November 19, 2011
概括
使用分子探针,FTMap通过计算识别了蛋白质结合热点. 这种方法准确地预测了蛋白溶酶的结合部位,比以前的计算技术提供了更全面的分析.
科学领域:
- 计算化学是一种计算化学.
- 结构生物学是结构生物学.
- 药物发现 药物发现
背景情况:
- 蛋白质结合热点对于分子相互作用至关重要.
- 实验方法如X射线晶体学和NMR光谱学用于识别这些地点.
- 需要计算方法来有效和全面地识别热点.
研究的目的:
- 介绍FTMap,用于识别蛋白质结合热点的计算工具.
- 评估FTMap对具有已知的结合部位特征的蛋白溶酶 (HEWL) 的性能.
- 将FTMap的预测与实验数据和其他计算方法进行比较.
主要方法:
- 在密集的网格上,FTMap利用16个探头分子进行全球蛋白质表面采样.
- 能量评估采用快速里叶变换的相关性方法与实证能量函数.
- 离电网最小化炼油厂使用详细的能量表达式识别了热点.
主要成果:
- 在所有九个HEWL结构中,FTMap成功地确定了主要热点 (地点C).
- 还检测到对基质结合很重要的二次热点 (B和D地点).
- 预测的相互作用与来自HEWL-连接体复合体和NMR研究的实验数据相对应得很好.
结论:
- FTMap准确地识别了HEWL.上已知的绑定热点.
- 与以前的计算方法相比,该方法提供了更完整的绑定站点信息.
- FTMap为药物发现提供了一个有前途的工具,通过预测具有高准确度和较少假阳性的结合部位.
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