Evidence map›Paper›PMID 38830143›Full record

ArticleJournal of the American Society for Mass Spectrometry2024

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

Mohammad Reza Zare Shahneh, Michael Strobel, Giovanni Andrea Vitale, Christian Geibel, Yasin El Abiead, Neha Garg, Berenike Wagner, Karl Forchhammer, Allegra Aron, Vanessa V Phelan and 2 more

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. A Functional Metabolomics Framework to Track Microbiome Drug Metabolism.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Multiple Spectrum Alignment for Molecular Networking Exploration and Discovery.Journal of the American Society for Mass Spectrometry · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Multispectrum ModiFinder Site Localization Performance.Journal of the American Society for Mass Spectrometry · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Mohammad Reza Zare ShahnehDepartment of Computer Science and Engineering, University of California Riverside, 900 University Ave., Riverside, California 92521, United States.
Michael StrobelDepartment of Computer Science and Engineering, University of California Riverside, 900 University Ave., Riverside, California 92521, United States.
Giovanni Andrea VitaleInterfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Auf der Morgenstelle 24, Tuebingen 72076, Germany.
Christian GeibelInterfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Auf der Morgenstelle 24, Tuebingen 72076, Germany.ORCID 0009-0002-2044-9422
Yasin El AbieadSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, 9500 Gilman Dr., San Diego, California 92093, United States.
Neha GargSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta,, 950 Atlantic Drive, Atlanta, Georgia 30332, United States.
Berenike WagnerInterfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Auf der Morgenstelle 28, Tuebingen 72076, Germany.
Karl ForchhammerInterfaculty Institute of Microbiology and Infection Medicine, University of Tuebingen, Auf der Morgenstelle 28, Tuebingen 72076, Germany.
Allegra AronDepartment of Chemistry and Biochemistry, University of Denver, 2101 East Wesley Ave, Denver, Colorado 80210, United States.
Vanessa V PhelanDepartment 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.ORCID 0000-0001-7156-9294
Daniel PetrasDepartment of Biochemistry, University of California Riverside, 900 University Ave., Riverside, California 92521, United States.
Mingxun WangDepartment of Computer Science and Engineering, University of California Riverside, 900 University Ave., Riverside, California 92521, United States.ORCID 0000-0001-7647-6097

Funding

Collaborative Microbial Metabolite CenterU24DK133658 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PIETER C DORRESTEIN · 2022 to 2026
$2.9M
Characterizing Natural Product Mediated Microbial InteractionsR35GM128690 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI PHELAN, VANESSA V · 2018 to 2022
$1.9M
Cross Repository Metabolomics Data and Workflow IntegrationR03OD034493 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DORRESTEIN, PIETER C, WANG, MINGXUN · 2022 to 2022
$303k
NIDDK NIH HHS U24 DK133658NIGMS NIH HHS R35 GM128690NIH HHS R03 OD034493
6 · The paper itself

Abstract

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.

Identifiers

PMID38830143
PMCPMC11540723

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.