Targeting Hypoglycemic Natural Products from the Cloud Forest Plants Using Chemotaxonomic Computer-Assisted Selection DOI Open Access
Cecilia I. Mayo-Montor, Abraham Vidal‐Limon, Víctor M. Loyola‐Vargas

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(20), P. 10881 - 10881

Published: Oct. 10, 2024

The cloud forest (CF), a hugely biodiverse ecosystem, is hotspot of unexplored plants with potential for discovering pharmacologically active compounds. Without sufficient ethnopharmacological information, developing strategies rationally selecting experimental studies crucial. With this goal, CF metabolites library was created, and ligand-based virtual screening conducted to identify molecules hypoglycemic activity. From the most promising botanical families, were collected, methanolic extracts prepared, activity evaluated through in vitro enzyme inhibition assays on α-amylase, α-glucosidase, dipeptidyl peptidase IV (DPP-IV). Metabolomic analyses performed dominant species best inhibitory profile, their affinity molecular targets using ensemble docking. This strategy led identification twelve (in four families)

Language: Английский

Cinnamic Acid Derivatives and Cadmium Toxicity: From Composition and Dosage to Inhibitory Mechanisms DOI
Tingting Zhao,

Yajie Duan,

Minghua Ren

et al.

Journal of Food Composition and Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 107568 - 107568

Published: April 1, 2025

Language: Английский

Citations

0
Targeting Hypoglycemic Natural Products from the Cloud Forest Plants Using Chemotaxonomic Computer-Assisted Selection DOI Open Access
Cecilia I. Mayo-Montor, Abraham Vidal‐Limon, Víctor M. Loyola‐Vargas

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(20), P. 10881 - 10881

Published: Oct. 10, 2024

The cloud forest (CF), a hugely biodiverse ecosystem, is hotspot of unexplored plants with potential for discovering pharmacologically active compounds. Without sufficient ethnopharmacological information, developing strategies rationally selecting experimental studies crucial. With this goal, CF metabolites library was created, and ligand-based virtual screening conducted to identify molecules hypoglycemic activity. From the most promising botanical families, were collected, methanolic extracts prepared, activity evaluated through in vitro enzyme inhibition assays on α-amylase, α-glucosidase, dipeptidyl peptidase IV (DPP-IV). Metabolomic analyses performed dominant species best inhibitory profile, their affinity molecular targets using ensemble docking. This strategy led identification twelve (in four families)

Language: Английский

Citations

0