CONFPASS:从符合性搜索中对结构进行快速DFT重新优化
Ching Ching Lam1, Jonathan M Goodman1
1Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K.
Journal of chemical information and modeling
|July 10, 2023
概括
CONFPASS软件有效地优先考虑密度函数理论 (DFT) 重新优化中的分子对象. 它改善了全球最低识别,并减少了冗余的计算,节省了计算资源.
科学领域:
- 计算化学的计算化学
- 分子建模分子建模
- 药物发现 药物发现 药物发现
背景情况:
- 准确的形状分析对于预测分子性质至关重要.
- 密度函数理论 (DFT) 对符合器的重新优化是计算密集的.
- 当前对符合者优先级的方法可能会导致冗余的计算,可能错过全球最小值.
研究的目的:
- 开发和评估CONFPASS (对DFT重新优化的符合优先级和分析).
- 为找到全球最低结构提供一个可信度估计.
- 为了减少DFT重新优化工作流程中的重复率.
主要方法:
- CONFPASS从构造性搜索输出中提取二面角描述符.
- 它执行集群,并为DFT重新优化生成优先级列表.
- 评估使用了150种多样化,灵活分子的DFT数据.
主要成果:
- CONFPASS为全球最低识别提供了可信度估计.
- 在优化一半的力场 (FF) 结构后,在找到全局最小值时可以获得90%的信心.
- 对于前30%的重新优化,CONFPASS将重复率降低2倍,在80%的时间内捕获全球最低值.
结论:
- CONFPASS是一个有效的工具,用于为DFT重新优化优先考虑分子对应物.
- 该软件通过最大限度地减少冗余计算来提高计算效率.
- 在重新优化过程中,CONFPASS增加了在重新优化过程的早期确定全球最低结构的可能性.
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