ModiFinder: Tandem Mass Spectral Alignment Enables Structural Modification Site Localization.


Journal

Journal of the American Society for Mass Spectrometry
ISSN: 1879-1123
Titre abrégé: J Am Soc Mass Spectrom
Pays: United States
ID NLM: 9010412

Informations de publication

Date de publication:
03 Jun 2024
Historique:
medline: 3 6 2024
pubmed: 3 6 2024
entrez: 3 6 2024
Statut: aheadofprint

Résumé

Untargeted tandem mass spectrometry (MS/MS) has become a high-throughput method to measure small molecules in complex samples. One key goal is the transformation of these MS/MS spectra into chemical structures. Computational techniques such as MS/MS library search have enabled the reidentification of known compounds. Analog library search and molecular networking extend this identification to unknown compounds. While there have been advancements in metrics for the similarity of MS/MS spectra of structurally similar compounds, there is still a lack of automated methods to provide site specific information about structural modifications. Here we introduce ModiFinder which leverages the alignment of peaks in MS/MS spectra between structurally related known and unknown small molecules. Specifically, ModiFinder focuses on shifted MS/MS fragment peaks in the MS/MS alignment. These shifted peaks putatively represent substructures of the known molecule that contain the site of the modification. ModiFinder synthesizes this information together and scores the likelihood for each atom in the known molecule to be the modification site. We demonstrate in this manuscript how ModiFinder can effectively localize modifications which extends the capabilities of MS/MS analog searching and molecular networking to accelerate the discovery of novel compounds.

Identifiants

pubmed: 38830143
doi: 10.1021/jasms.4c00061
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Mohammad Reza Zare Shahneh (MRZ)

Department of Computer Science and Engineering, University of California Riverside, 900 University Ave., Riverside, California 92521, United States.

Michael Strobel (M)

Department of Computer Science and Engineering, University of California Riverside, 900 University Ave., Riverside, California 92521, United States.

Giovanni Andrea Vitale (GA)

Interfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Auf der Morgenstelle 24, Tuebingen 72076, Germany.

Christian Geibel (C)

Interfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Auf der Morgenstelle 24, Tuebingen 72076, Germany.

Yasin El Abiead (YE)

Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, California 92093, United States.

Neha Garg (N)

School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta,, 950 Atlantic Drive, Atlanta, Georgia 30332, United States.

Berenike Wagner (B)

Interfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Auf der Morgenstelle 28, Tuebingen 72076, Germany.

Karl Forchhammer (K)

Interfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Auf der Morgenstelle 28, Tuebingen 72076, Germany.

Allegra Aron (A)

Department of Chemistry and Biochemistry, University of Denver, 2101 East Wesley Ave, Denver, Colorado 80210, United States.

Vanessa V Phelan (VV)

Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Anschutz Medical Campus, 12850 E Montview Blvd, Aurora, Colorado 80045, United States.

Daniel Petras (D)

Department of Biochemistry, University of California Riverside, 900 University Ave., Riverside, California 92521, United States.

Mingxun Wang (M)

Department of Computer Science and Engineering, University of California Riverside, 900 University Ave., Riverside, California 92521, United States.

Classifications MeSH