AllCCS2:使用全面的分子表示方法,对小分子的离子移动性碰撞截面图谱进行策划
Haosong Zhang1,2, Mingdu Luo1,2, Hongmiao Wang1,2
1Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China.
Analytical chemistry
|September 4, 2023
概括
AllCCS2通过准确预测小分子碰撞截面 (CCS) 值来增强离子运动质谱学 (IM-MS) 分析. 这种工具可以改善代谢学和脂质学研究中的数据解释.
科学领域:
- 分析化学 分析化学
- 计算化学计算化学
背景情况:
- 离子移动性质谱 (IM-MS) 对于在代谢学和脂管学等领域的小分子分析至关重要.
- 准确的碰撞截面 (CCS) 数据库对于强大的IM-MS应用程序至关重要.
研究的目的:
- 开发AllCCS2,这是一个先进的工具,用于对小分子的离子流动性CCS值的普遍预测.
- 为了提高CCS预测的准确性和覆盖范围,超越现有的工具.
主要方法:
- 利用在广泛的实验CCS数据 (10,384条记录) 上训练的神经网络.
- 结合了多样化的分子表示:质谱特征,分子描述符和通过图形卷积网络的图形特征.
- 通过结构相似性和模型预测变化来研究预测不确定性.
主要成果:
- 实现了高预测准确度,中位数相对误差为0.31% (培训),0.72% (验证) 和1.64% (测试).
- 与现有的CCS预测工具相比,在准确性和覆盖范围方面表现出卓越的性能.
- 在不同的IM-MS仪表平台 (DTIMS,TWIMS,TIMS) 上展示了出色的兼容性.
结论:
- 在小分子分析中,AllCCS2是推动IM-MS应用的宝贵资源.
- 该工具为CCS预测提供了更高的准确性和可靠性.
- 所有CCS2数据库和工具都是公开可访问的,用于研究.
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