{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Azene M"],"funding":["Addis Ababa University"],"pagination":["e0335929"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12582500"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["20(11)"],"pubmed_abstract":["Salvia schimperi is widely used in Ethiopian folk medicine, particularly its raw and roasted seeds for treating ailments such as diarrhea. While numerous reports on its traditional uses and biological activities exist, limited chemical datasets are available on this plant. This study aimed to annotate and identify the phytochemical constituents in S. schimperi seed extracts. The ground samples of S. schimperi seeds (raw and roasted) were extracted with 80% methanol prior to metabolomic analysis using LCMS. Data processing and compound identification were conducted using MZmine, SIRIUS and XCMS platforms. Multivariate statistical analyses and biological targets prediction were carried out via XCMS, MetaboAnalyst, BindingDB and Therapeutic Target Databases. Annotation by SIRIUS based on ZODI"],"journal":["PloS one"],"pubmed_title":["Metabolomics and databases driven approach of identification of phytochemicals from seed of Salvia schimperi using high-performance liquid chromatography tandem mass spectrometry."],"pmcid":["PMC12582500"],"funding_grant_id":["TR/025/2021"],"pubmed_authors":["Iweriebor BC","Azene M","Obi CL","Assefa S","Baye K","Abebe Z","Shibeshi W","Olaokun OO","Mkolo NM","Habtamu A"],"additional_accession":[]},"is_claimable":false,"name":"Metabolomics and databases driven approach of identification of phytochemicals from seed of Salvia schimperi using high-performance liquid chromatography tandem mass spectrometry.","description":"Salvia schimperi is widely used in Ethiopian folk medicine, particularly its raw and roasted seeds for treating ailments such as diarrhea. While numerous reports on its traditional uses and biological activities exist, limited chemical datasets are available on this plant. This study aimed to annotate and identify the phytochemical constituents in S. schimperi seed extracts. The ground samples of S. schimperi seeds (raw and roasted) were extracted with 80% methanol prior to metabolomic analysis using LCMS. Data processing and compound identification were conducted using MZmine, SIRIUS and XCMS platforms. Multivariate statistical analyses and biological targets prediction were carried out via XCMS, MetaboAnalyst, BindingDB and Therapeutic Target Databases. Annotation by SIRIUS based on ZODI","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-05-16T03:14:17.448Z","creation":"2026-05-16T03:08:07.095Z"},"accession":"S-EPMC12582500","cross_references":{"pubmed":["41183088"],"doi":["10.1371/journal.pone.0335929"]}}