{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kim M"],"funding":["Korean National Police Agency","Ministry of Education","Korea Customs Service","Korean National Police University"],"pagination":["69-75"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12809649"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["98(1)"],"pubmed_abstract":["Feature-Based Molecular Networking (FBMN) on the Global Natural Products Social Molecular Networking (GNPS) platform offers a transformative framework for visualizing drug-drug interaction (DDI)-driven metabolic reprogramming that conventional analytical approaches fail to capture. Here, we demonstrate its application as a novel strategy to resolve complex metabolic alterations arising from DDI-induced toxicity. Using FBMN-integrated MS<sup>2</sup> mapping, we established a proof-of-concept workflow to elucidate large-scale metabolic transitions and pathway rewiring. As a model system, co-administration of methamphetamine (MA) and ethanol (EtOH)─a combination known to potentiate toxicity─was analyzed through liquid chromatography-quadrupole time-of-flight mass spectrometry. Merging MS<sup>"],"journal":["Analytical chemistry"],"pubmed_title":["GNPS Feature-Based Molecular Networking as a Tool to Visualize Metabolic Toxicity from Drug-Drug Interactions: A Case Study with Methamphetamine and Ethanol."],"pmcid":["PMC12809649"],"funding_grant_id":["RS-2023-00242428","RS-2024-00406234"],"pubmed_authors":["Yoo SJ","Lee S","Kim JH","Kim M"],"additional_accession":[]},"is_claimable":false,"name":"GNPS Feature-Based Molecular Networking as a Tool to Visualize Metabolic Toxicity from Drug-Drug Interactions: A Case Study with Methamphetamine and Ethanol.","description":"Feature-Based Molecular Networking (FBMN) on the Global Natural Products Social Molecular Networking (GNPS) platform offers a transformative framework for visualizing drug-drug interaction (DDI)-driven metabolic reprogramming that conventional analytical approaches fail to capture. Here, we demonstrate its application as a novel strategy to resolve complex metabolic alterations arising from DDI-induced toxicity. Using FBMN-integrated MS<sup>2</sup> mapping, we established a proof-of-concept workflow to elucidate large-scale metabolic transitions and pathway rewiring. As a model system, co-administration of methamphetamine (MA) and ethanol (EtOH)─a combination known to potentiate toxicity─was analyzed through liquid chromatography-quadrupole time-of-flight mass spectrometry. Merging MS<sup>","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Jan","modification":"2026-06-06T16:06:54.667Z","creation":"2026-06-02T03:12:24.64Z"},"accession":"S-EPMC12809649","cross_references":{"pubmed":["41481198"],"doi":["10.1021/acs.analchem.5c06388"]}}