具有灵活拓学的绑定口袋的无定向探索
Fatemeh Fathi Niazi1, Seungmin Yoon2, Khadim Mbacke3
1Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, Michigan 48824, United States.
这项研究引入了药物设计的灵活拓模拟,通过考虑蛋白质灵活性来改善虚拟查. 这种方法揭示了绑定口袋偏好,并更有效地识别了潜在的药物候选者.
科学领域:
- 计算化学的计算化学
- 药物发现 药物发现 药物发现
- 分子建模分子建模
背景情况:
- 传统的虚拟高通量选 (VHTS) 使用静态蛋白质结构,忽视关键的带诱导的构造变化.
- 这种限制忽略了结合和不同的配体如何改变蛋白质结合部位,影响药物的疗效评估.
研究的目的:
- 开发和演示一种新的计算方法",灵活拓",它将蛋白质灵活性纳入VHTS.
- 通过模拟动态原子属性来探索连接物结合部位的偏好,并确定可取的连接物特性.
主要方法:
- 实施了一种"灵活的拓学"方法,在这种方法中,连接体原子的身份和属性会动态变化,受蛋白质环境的影响.
- 利用未定向的灵活拓模拟来探测蛋白质结合口袋.
- 使用OpenEye的"eon"软件进行基于形状和静电学的虚拟选,以匹配模拟的原子方向.
主要成果:
- 灵活的拓模拟成功探索了连接物结合点,并确定了关键口袋偏好.
- 该方法证明了它能够揭示潜在药物联体的可取性质.
- 与29个B2AR晶体结构和13个不同的配体进行比较,验证了模拟的结果.
结论:
- 灵活的拓模拟通过捕捉蛋白质动态,在VHTS中的静态模型上提供了显著的进步.
- 这种方法提高了虚拟查的准确性,并有助于合理设计更有效的药物分子.
- 与"eon"等工具的集成进一步通过优化连接体方向来完善击中识别.
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