Evidence map›Paper›PMID 36107950›Full record

ArticleJournal of chemical information and modeling2022

Beyond the Ground State: Predicting Electron Ionization Mass Spectra Using Excited-State Molecular Dynamics.

Shunyang Wang, Tobias Kind, Parker Ladd Bremer, Dean J Tantillo, Oliver Fiehn

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Roadmap for Molecular Benchmarks in Nonadiabatic Dynamics.The journal of physical chemistry. A · 2025
    Review
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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

5 authors.

Shunyang WangWest Coast Metabolomics Center, UC Davis Genome Center, University of California, 451 Health Sciences Drive, Davis, California 95616, United States.
Tobias KindWest Coast Metabolomics Center, UC Davis Genome Center, University of California, 451 Health Sciences Drive, Davis, California 95616, United States.
Parker Ladd BremerWest Coast Metabolomics Center, UC Davis Genome Center, University of California, 451 Health Sciences Drive, Davis, California 95616, United States.
Dean J TantilloDepartment of Chemistry, University of California, 1 Shields Avenue, Davis, California 95616, United States.ORCID 0000-0002-2992-8844
Oliver FiehnWest Coast Metabolomics Center, UC Davis Genome Center, University of California, 451 Health Sciences Drive, Davis, California 95616, United States.ORCID 0000-0002-6261-8928

Funding

West Coast Metabolomics Center for Compound IdentificationU2CES030158 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIEHN, OLIVER · 2018 to 2021
$4.1M
NIEHS NIH HHS U2C ES030158
6 · The paper itself

Abstract

Here, we provide an algorithm that introduces excited states into the molecular dynamics prediction of the 70 eV electron ionization mass spectra. To decide the contributions of different electronic states, the ionization cross section associated with relevant molecular orbitals was calculated by the binary-encounter-Bethe (BEB) model. We used a fast orthogonalization model/single and double state configuration interaction (OM2/CISD) method to implement excited states calculations and combined this with the GFN1-xTB semiempirical model. Demonstrated by predicting the mass spectrum of urocanic acid, we showed better accuracies to experimental spectra using excited-state molecular dynamics than calculations that only used the ground-state occupation. For several histidine pathway intermediates, we found that excited-state corrections yielded an average of 73% more true positive ions compared to the OM2 method when matching to experimental spectra and 16% more true positive ions compared to the GFN method. Importantly, the exited state models also correctly predict several fragmentation reactions that were missing from both ground-state methods. Overall, for 48 calculated molecules, we found the best average mass spectral similarity scores for the mixed excited-state method compared to the ground-state methods using either cosine, weighted dot score, or entropy similarity calculations. Therefore, we recommend adding excited-state calculations for predicting the electron ionization mass spectra of small molecules in metabolomics.

Indexed as

ElectronsUrocanic AcidHistidineIonsMolecular Dynamics SimulationQuantum TheoryHistidineIonsUrocanic Acid

Identifiers

PMID36107950
PMCPMC11492808

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Registered trials

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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.