A team from Toho University successfully created an automated program to rapidly identify anti-glycation active compounds present in natural resources. In the future, this newly developed method is expected to be effectively utilized for the discovery of anti-glycation active compounds present in natural resources. The results of this study were published on May 3, 2025, in the academic journal Analytical Chemistry.
Key Highlights
Journal
Analytical Chemistry , May 3, 2025 Volume 97, Issue 18, Pages 9836–9847
Title
A Carbonyl-Trapping Mechanism-Based Automatic Mining (CTM-AM) Strategy for Accelerating the Discovery of Natural Products with Anti-Advanced Glycation End Products Activity
Authors
Wenjun Qi, Mi Zhang, Takashi Kikuchi, Kouharu Otsuki, Wei Li
DOI:
10.1021/acs.analchem.5c00216
Analytical Chemistry
Experimental study
Not applicable
A Carbonyl-Trapping Mechanism-Based Automatic Mining (CTM-AM) Strategy for Accelerating the Discovery of Natural Products with Anti-Advanced Glycation End Products Activity
3-May-2025
The authors declare no conflict of interest.