以量子力学为基础的采矿最小算法计算蛋白质-连接体结合的自由能量
Megan Schlinsog1, Tosaporn Sattasathuchana2, Peng Xu1
1Department of Chemistry, Iowa State University and Ames National Laboratory, Ames, Iowa 50014, United States.
一种新的蛋白质连接体QM-VM2方法通过将分子力学与量子力学相结合,准确地预测结合的自由能量. 这种方法改进了以前的方法,为药物发现和非目标活动查提供了可扩展的解决方案.
科学领域:
- 计算化学是一种计算化学.
- 生物物理学的生物物理.
- 药物发现 药物发现
背景情况:
- 精确计算蛋白质 - 配体结合的自由能量对于药物发现至关重要.
- 现有的分子力学 (MM) 方法往往缺乏可靠预测所需的准确性.
- 量子力学 (QM) 方法提供更高的准确性,但对于大型系统来说,计算成本昂贵.
研究的目的:
- 开发和验证一种新的计算方法,蛋白质连接体QM-VM2 (PLQM-VM2),用于计算蛋白质连接体结合的自由能量.
- 将分子力学 (MM) 与量子力学 (QM) 整合起来,以提高准确性和效率.
- 评估PLQM-VM2在各种蛋白质-连接体系统中的性能.
主要方法:
- PLQM-VM2将采矿最小值 (MM-VM2) 方法与QM潜力相结合.
- 工作流使用蛋白质数据库 (PDB) 和化学结构数据文件 (SD文件).
- 使用密度功能紧固结合 (DFTB3-D3(BJ) 和导体式极化连续模型 (PCM) 溶解,采用蛋白质切割和碎片分子轨道 (FMO) 模型来应用QM校正.
主要成果:
- 与MM-VM2相比,PLQM-VM2显著改善了与实验结合亲和关系的等级顺序和相关性.
- 单点能量和几何优化QM校正都提高了准确性.
- 与几何优化的碎片分子轨道 (FMO) 方法产生了最好的结果,而切割单点能量方法提供了精度和计算成本的良好平衡.
- PLQM-VM2在不同的蛋白质 - 连接体系统中提供直接可比的结合自由能量尺度.
结论:
- PLQM-VM2提供了一种强大而准确的方法来计算蛋白质 - 连接体结合的自由能量.
- 该方法表现出比传统的MM方法更好的性能,促进了更可靠的药物查.
- PLQM-VM2显示了开发多蛋白选能力以识别非目标活动的潜力.
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