Literature DB >> 35610037

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

Fei Wang1, Dana Allen2, Siyang Tian2, Eponine Oler2, Vasuk Gautam2, Russell Greiner1,3, Thomas O Metz4, David S Wishart1,2,5,6,4.   

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.
© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2022        PMID: 35610037      PMCID: PMC9252813          DOI: 10.1093/nar/gkac383

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   19.160


  34 in total

1.  Collision energies on QTof and Orbitrap instruments: How to make proteomics measurements comparable?

Authors:  Dániel Szabó; Gitta Schlosser; Károly Vékey; László Drahos; Ágnes Révész
Journal:  J Mass Spectrom       Date:  2020-11-26       Impact factor: 1.982

2.  Using MS-FINDER for identifying 19 natural products in the CASMI 2016 contest.

Authors:  Arpana Vaniya; Stephanie N Samra; Mine Palazoglu; Hiroshi Tsugawa; Oliver Fiehn
Journal:  Phytochem Lett       Date:  2016-12-09       Impact factor: 1.679

3.  Neutral Loss Mass Spectral Data Enhances Molecular Similarity Analysis in METLIN.

Authors:  Aries Aisporna; H Paul Benton; Andy Chen; Rico J E Derks; Jean Marie Galano; Martin Giera; Gary Siuzdak
Journal:  J Am Soc Mass Spectrom       Date:  2022-02-17       Impact factor: 3.109

4.  METLIN: A Technology Platform for Identifying Knowns and Unknowns.

Authors:  Carlos Guijas; J Rafael Montenegro-Burke; Xavier Domingo-Almenara; Amelia Palermo; Benedikt Warth; Gerrit Hermann; Gunda Koellensperger; Tao Huan; Winnie Uritboonthai; Aries E Aisporna; Dennis W Wolan; Mary E Spilker; H Paul Benton; Gary Siuzdak
Journal:  Anal Chem       Date:  2018-02-09       Impact factor: 6.986

5.  Computational Prediction of Electron Ionization Mass Spectra to Assist in GC/MS Compound Identification.

Authors:  Felicity Allen; Allison Pon; Russ Greiner; David Wishart
Journal:  Anal Chem       Date:  2016-07-21       Impact factor: 6.986

Review 6.  Natural products as reservoirs of novel therapeutic agents.

Authors:  Sadaf Mushtaq; Bilal Haider Abbasi; Bushra Uzair; Rashda Abbasi
Journal:  EXCLI J       Date:  2018-05-04       Impact factor: 4.068

7.  The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products.

Authors:  Kathie L Dionisio; Katherine Phillips; Paul S Price; Christopher M Grulke; Antony Williams; Derya Biryol; Tao Hong; Kristin K Isaacs
Journal:  Sci Data       Date:  2018-07-10       Impact factor: 6.444

8.  HMDB 5.0: the Human Metabolome Database for 2022.

Authors:  David S Wishart; AnChi Guo; Eponine Oler; Fei Wang; Afia Anjum; Harrison Peters; Raynard Dizon; Zinat Sayeeda; Siyang Tian; Brian L Lee; Mark Berjanskii; Robert Mah; Mai Yamamoto; Juan Jovel; Claudia Torres-Calzada; Mickel Hiebert-Giesbrecht; Vicki W Lui; Dorna Varshavi; Dorsa Varshavi; Dana Allen; David Arndt; Nitya Khetarpal; Aadhavya Sivakumaran; Karxena Harford; Selena Sanford; Kristen Yee; Xuan Cao; Zachary Budinski; Jaanus Liigand; Lun Zhang; Jiamin Zheng; Rupasri Mandal; Naama Karu; Maija Dambrova; Helgi B Schiöth; Russell Greiner; Vasuk Gautam
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

9.  ChemDistiller: an engine for metabolite annotation in mass spectrometry.

Authors:  Ivan Laponogov; Noureddin Sadawi; Dieter Galea; Reza Mirnezami; Kirill A Veselkov
Journal:  Bioinformatics       Date:  2018-06-15       Impact factor: 6.937

10.  CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra.

Authors:  Felicity Allen; Allison Pon; Michael Wilson; Russ Greiner; David Wishart
Journal:  Nucleic Acids Res       Date:  2014-06-03       Impact factor: 16.971

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