通过时间依赖的线性响应理论对抗生素耐药性的Allosteric突变进行剖析
P Campitelli1, T Modi1, S B Ozkan1
1Department of Physics, Center for Biological Physics, Arizona State University, Tempe, Arizona 85287-1504, United States.
Journal of chemical theory and computation
|August 7, 2024
概括
一种新的计算方法揭示了TEM-1β-lactamase中的明显的全位反应. 这种方法准确地预测了抗生素耐药性突变,并确定了关键的监管位置.
科学领域:
- 生物物理学的生物物理.
- 计算生物学 计算生物学
- 酶学 是一种酶学.
背景情况:
- 了解蛋白质异构是药物发现的关键.
- TEM-1β-乳酸酶是赋予抗生素耐药性的关键酶.
- 预测突变对蛋白质功能的影响仍然具有挑战性.
研究的目的:
- 开发和验证一种用于分析蛋白质残留动态的新型计算方法.
- 为了研究TEM-1β-乳糖酶中的全性传播途径.
- 通过计算建模识别对抗生素耐药性至关重要的残留物.
主要方法:
- 将分子动力学 (MD) 模拟与时间依赖线性响应 (TDLR) 理论结合起来.
- 分析残留物对目标力扰动的波动反应.
- 应用福里埃转换来将时间域数据转换为频域表示.
- 开发基于扰乱响应概况的分类模型.
主要成果:
- 在TEM-1β-lactamase中观察到异性与非异性位点的明显的时间解析扰动响应概况.
- 在深度测序数据中观察到的与突变行为相关的扰动响应的频率空间表示.
- 计算模型准确地确定了调节抗生素耐药性的远程残留物.
- 该方法在没有广泛的模拟的情况下成功预测了全位.
结论:
- 新的MD-TDLR方法提供了一个强大的工具来表征蛋白质异质和动态.
- 扰乱反应概况提供了关于残留物对抗生素耐药性的贡献的见解.
- 这种方法可以加快识别全位和潜在药物点的速度.
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