Highly accurate and large-scale collision cross sections prediction with graph neural networks

Abstract The collision cross section (CCS) values derived from ion mobility spectrometry can be used to improve the accuracy of compound identification. Here, we have developed the Structure included graph merging with adduct method for CCS prediction (SigmaCCS) based on graph neural networks using...

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Bibliographic Details
Main Authors: Renfeng Guo, Youjia Zhang, Yuxuan Liao, Qiong Yang, Ting Xie, Xiaqiong Fan, Zhonglong Lin, Yi Chen, Hongmei Lu, Zhimin Zhang
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:Communications Chemistry
Online Access:https://doi.org/10.1038/s42004-023-00939-w