CFM-ID 4.0 – a web server for accurate MS-based metabolite identification

Author:

Wang Fei1,Allen Dana2,Tian Siyang2,Oler Eponine2,Gautam Vasuk2,Greiner Russell13,Metz Thomas O4,Wishart David S12564ORCID

Affiliation:

1. Department of Computing Science, University of Alberta , Edmonton , AB , T6G 2E8 , Canada

2. Department of Biological Sciences, University of Alberta, Edmonton , AB , T6G 2E9 , Canada

3. Alberta Machine Intelligence Institute, University of Alberta , Edmonton , AB , T6G 2E8 , Canada

4. Biological Sciences Division, Pacific Northwest National Laboratory , Richland , WA 99352 , USA

5. Department of Laboratory Medicine and Pathology, University of Alberta , Edmonton , AB , T6G 2B7 , Canada

6. Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta , Edmonton , AB , T6G 2H7 , Canada

Abstract

Abstract The CFM-ID 4.0 web server (https://cfmid.wishartlab.com) is an online tool for predicting, annotating and interpreting tandem mass (MS/MS) spectra of small molecules. It is specifically designed to assist researchers pursuing studies in metabolomics, exposomics and analytical chemistry. More specifically, CFM-ID 4.0 supports the: 1) prediction of electrospray ionization quadrupole time-of-flight tandem mass spectra (ESI-QTOF-MS/MS) for small molecules over multiple collision energies (10 eV, 20 eV, and 40 eV); 2) annotation of ESI-QTOF-MS/MS spectra given the structure of the compound; and 3) identification of a small molecule that generated a given ESI-QTOF-MS/MS spectrum at one or more collision energies. The CFM-ID 4.0 web server makes use of a substantially improved MS fragmentation algorithm, a much larger database of experimental and in silico predicted MS/MS spectra and improved scoring methods to offer more accurate MS/MS spectral prediction and MS/MS-based compound identification. Compared to earlier versions of CFM-ID, this new version has an MS/MS spectral prediction performance that is ∼22% better and a compound identification accuracy that is ∼35% better on a standard (CASMI 2016) testing dataset. CFM-ID 4.0 also features a neutral loss function that allows users to identify similar or substituent compounds where no match can be found using CFM-ID’s regular MS/MS-to-compound identification utility. Finally, the CFM-ID 4.0 web server now offers a much more refined user interface that is easier to use, supports molecular formula identification (from MS/MS data), provides more interactively viewable data (including proposed fragment ion structures) and displays MS mirror plots for comparing predicted with observed MS/MS spectra. These improvements should make CFM-ID 4.0 much more useful to the community and should make small molecule identification much easier, faster, and more accurate.

Funder

NSERC

AMII

CIHR

National Institutes of Health

National Institute of Environmental Health Sciences

Publisher

Oxford University Press (OUP)

Subject

Genetics

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