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Galaxy QCxMS for straightforward semi-empirical quantum mechanical EI-MS prediction

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F25%3A00141838" target="_blank" >RIV/00216224:14310/25:00141838 - isvavai.cz</a>

  • Result on the web

    <a href="https://gigabytejournal.com/articles/160" target="_blank" >https://gigabytejournal.com/articles/160</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.46471/gigabyte.160" target="_blank" >10.46471/gigabyte.160</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Galaxy QCxMS for straightforward semi-empirical quantum mechanical EI-MS prediction

  • Original language description

    High-performance computing (HPC) environments are crucial for computational research, including quantum chemistry (QC), but pose challenges for non-expert users. Researchers with limited computational knowledge struggle to utilise domain-specific software and access mass spectra prediction for in silico annotation. Here, we provide a robust workflow that leverages interoperable file formats for molecular structures to ensure integration across various QC tools. The quantum chemistry package for mass spectral predictions after electron ionization or collision-induced dissociation has been integrated into the Galaxy platform, enabling automated analysis of fragmentation mechanisms. The extended tight binding quantum chemistry package, chosen for its balance between accuracy and computational efficiency, provides molecular geometry optimisation. A Docker image encapsulates the necessary software stack. We demonstrated the workflow for four molecules, highlighting the scalability and efficiency of our solution via runtime performance analysis. This work shows how non-HPC users can make these predictions effortlessly, using advanced computational tools without needing in-depth expertise.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10700 - Other natural sciences

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    GIGABYTE

  • ISSN

    2709-4715

  • e-ISSN

    2709-4715

  • Volume of the periodical

    2025

  • Issue of the periodical within the volume

    July 2025

  • Country of publishing house

    HK - HONG KONG

  • Number of pages

    11

  • Pages from-to

    1-11

  • UT code for WoS article

    001537487200001

  • EID of the result in the Scopus database

    2-s2.0-105010940627