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...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-07-01
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Series: | Communications Chemistry |
Online Access: | https://doi.org/10.1038/s42004-023-00939-w |