Untargeted metabolomics-based identification of bioactive compounds from Mangifera indica L. seed extracts in drug discovery through molecular docking and assessment of their anticancer potential

Mital Kaneria,Kalpna Rakholiya, Kaushal R. Bavaliya, Mohit H. Pandya, Tahir N. Sipai, Sharmishtha A. Vadher, Margi Patel,Virendra Kumar Yadav,Raghu Solanki,Sunita Patel,Dipak Kumar Sahoo,Ashish Patel

JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE(2024)

引用 0|浏览5
暂无评分
摘要
BACKGROUND: Mangifera indica L. (mango), a medicinal plant rich in biologically active compounds, has potential to be used in disease-preventing and health-promoting products. The present investigation reveals and uncovers bioactive metabolites with remarkable therapeutic efficiency from mango (family: Anacardiaceae) seeds. RESULTS: Biological activity was determined by antimicrobial, antioxidant and anticancer assays, and metabolite profiling was performed on gas chromatography coupled to quadrupole time-of-flight mass spectrometry (GC-QTOF-MS) and liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) platforms. Validation of active metabolites was carried out by in silico molecular docking (Molinspiration Cheminformatics Server and PASS). Extracted and identified metabolites were screened; 54 compounds associated with various groups were selected for the in silico interaction study. CONCLUSIONS: Molecular docking revealed lead molecules with a potential binding energy score, efficacy and stable modulation with a selected protein domain. Investigation, directed by in vitro and in silico analysis, confirms mango seeds as an excellent source of potential metabolites as a therapeutic agent. (c) 2024 Society of Chemical Industry.
更多
查看译文
关键词
anticancer activity,antioxidant enzyme activity,GC-QTOF-MS,LC-QTOF-MS,Mangifera indica L.,molecular docking,untargeted metabolomics
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要