在蛋白质-蛋白质接口上准未被占用的表面
David Rooklin1, Ashley E Modell1, Haotian Li1
1Department of Chemistry, New York University , New York, New York 10003, United States.
Journal of the American Chemical Society
|August 1, 2017
概括
我们使用AlphaSpace开发了一种计算设计策略, 这种方法成功设计了KIX/MLL标的抑制剂,证明了其药物发现潜力.
科学领域:
- 计算机化药物设计
- 蛋白与蛋白的相互作用抑制剂
- 类化学
背景情况:
- 针对蛋白质-蛋白质接口 (PPI) 的代药是一种抑制剂设计的关键策略.
- 这种方法依赖于模仿本地蛋白质图案,特别是热点残留物,这给设计带来了挑战.
- 确定适合抑制剂结合的口袋对于优化疗效至关重要.
研究的目的:
- 提供由AlphaSpace指导的新型以口袋为中心的计算设计策略.
- 确定可向和未被占用的口袋,用于抑制剂设计.
- 通过蛋白质接口优化抑制剂结合和口袋占用.
主要方法:
- 使用AlphaSpace来表示口袋空间作为Alpha集群.
- 采用以口袋为中心的策略来指导氨基酸突变的选择 (自然和非自然).
- 在KIX/MLL PPI目标上测试了该策略,优化了MLL内的螺旋形图案.
- 通过分子动力学模拟和光偏振测试验证抑制剂的有效性.
主要成果:
- 成功识别出适用于抑制剂设计的高质量口袋.
- 设计和优化了一种针对KIX/MLL相互作用的胺抑制剂.
- 通过计算和实验验证证明了设计的抑制剂的有效性.
结论:
- 以AlphaSpace为指导的,以口袋为中心的计算设计策略对于开发PPI抑制剂是有效的.
- 这种方法可以优化口袋占用以提高抑制剂的性能.
- 该战略有望设计针对PPI目标的新疗法.
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