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Updated: Mar 5, 2026

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
Published on: January 20, 2022
MetCCS predictor: a web server for predicting collision cross-section values of metabolites in ion mobility-mass
Zhiwei Zhou1, Xin Xiong1, Zheng-Jiang Zhu1
1Interdisciplinary Research Center on Biology and Chemistry, and Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, People's Republic of China.
Summary:
In metabolomics, rigorous structural identification of metabolites presents a challenge for bioinformatics. The use of collision cross-section (CCS) values of metabolites derived from ion mobility-mass spectrometry effectively increases the confidence of metabolite identification, but this technique suffers from the limit number of available CCS values. Currently, there is no software available for rapidly generating the metabolites' CCS values. Here, we developed the first web server, namely, MetCCS Predictor, for predicting CCS values. It can predict the CCS values of metabolites using molecular descriptors within a few seconds. Common users with limited background on bioinformatics can benefit from this software and effectively improve the metabolite identification in metabolomics.
Availability And Implementation:
The web server is freely available at: http://www.metabolomics-shanghai.org/MetCCS/ .
Contact:
jiangzhu@sioc.ac.cn.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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