Fast identification of anticancer constituents in Forsythiae Fructus based on metabolomics approaches
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Pharmaceutical and Biomedical Analysis"
DOI: 10.1016/j.jpba.2018.03.020
Abstract: HIGHLIGHTSUPLC–MS‐based metabolomics and multivariate data analyses were applied for fast identification of anticancer compound(s) in Forsythiae Fructus.Betulinic acid was predicted and experimentally confirmed as the most active anticancer compound in Forsythiae Fructus.The integrated metabolomics analysis… read more here.
Keywords: identification anticancer; forsythiae fructus; compound; based metabolomics ... See more keywords
Active Semisupervised Model for Improving the Identification of Anticancer Peptides
Sign Up to like & getrecommendations! Published in 2021 at "ACS Omega"
DOI: 10.1021/acsomega.1c03132
Abstract: Cancer is one of the most dangerous threats to human health. Accurate identification of anticancer peptides (ACPs) is valuable for the development and design of new anticancer agents. However, most machine-learning algorithms have limited ability… read more here.
Keywords: active semisupervised; identification anticancer; anticancer peptides; model ... See more keywords