精确的基于物理的宏循环带的灵活对接.
Jacob Robson-Tull1, João P G L M Rodrigues1
1Schrodinger New York, 1540 Broadway, 24th Floor, New York, New York 10035, United States.
一个新的计算建模协议提高了宏循环药物发现的准确性. 这种灵活的对接方法有效地预测了宏环化合物如何与标结合,改善了基于结构的治疗开发.
科学领域:
- 计算化学是一种计算化学.
- 药品化学 药品化学 是一个
- 药物发现 药物发现
背景情况:
- 宏观循环是面临计算建模挑战的重要治疗类.
- 现有的方法在采样生物活性构成和预测结合模式方面扎.
- 这些局限性阻碍了对宏环疗法的基于结构的药物发现.
研究的目的:
- 为宏观循环开发一个改进的计算对接协议.
- 为了提高预测宏循环结合模式和形状的准确性.
- 克服当前宏观周期建模技术的局限性.
主要方法:
- 开发了一种新的灵活的宏循环对接协议.
- 集成现有的施罗丁格宏循环采样和小分子对接技术.
- 使用240个受体宏循环系统的扩展数据集对该协议进行了基准测试.
主要成果:
- 新协议的性能明显优于现有的对接工具.
- 在前两种姿势内,在回顾受体结合结构方面获得了82%的准确性.
- 成功模拟了几个临床相关的宏环化合物的结合.
结论:
- 开发的灵活的宏循环对接协议显示了基于结构的药物发现的重大前景.
- 该方法提高了宏循环结合姿势和形状的预测.
- 需要进一步的研究来解决诸如诱导适合效应和宏观周期建模中的应变等挑战.
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