探索蛋白质的联体的结合位置和骨干构造,这些蛋白质具有以骨干为中心的统计能量功能
Lu Zhang1, Haiyan Liu2,3,4
1MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, Anhui, China.
Journal of computer-aided molecular design
|July 27, 2023
概括
本研究介绍了一种使用侧链未知脊柱安排 (SCUBA) 模型的计算工具,用于预测与蛋白质受体结合的联体结构. 该方法有效地识别了设计的潜在结合姿势和构造,而无需预先选择氨基酸序列.
科学领域:
- 计算生物学 计算生物学
- 结构生物学 结构生物学
- 药物设计 药物设计
背景情况:
- 在不了解氨基酸序列的情况下,为蛋白质受体设计配体是具有挑战性的.
- 预测结合姿势和形状对于有效的连接体设计至关重要.
研究的目的:
- 开发和验证用于预测联体骨干结构和结合形状的计算工具.
- 为此目的使用侧链未知骨干安排 (SCUBA) 统计能源模型.
主要方法:
- 使用SCUBA驱动的模拟和模拟化生成和优化骨干片段.
- 排序和聚类碎片以确定具有强烈相互作用能量的代表性姿势.
- 在111个已知的蛋白质化合物结构上对该工具进行基准测试.
主要成果:
- 该工具成功地生成了低能量的骨干片段,其根的平均平方偏差低,用于链形状中的配体.
- 对于螺旋或线圈形状,该方法在约50%的案例中实现了准确的结合姿势.
- 分子动力学模拟证实了预测的联体复合物的稳定性.
结论:
- 基于SCUBA的工具对于设计有前途的脊柱结构和预测结合姿势是有效的.
- 识别SCUBA能量景观上的最小值有助于设计与蛋白质受体结合的.
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