Predicting in silico which mixtures of the natural products of plants might most effectively kill human leukemia cells?

ABSTRACT: The aim of the analysis of just 13 natural products of plants was to predict the most likely effective artificial mixtures of 2-3 most effective natural products on leukemia cells from over 364 possible mixtures. The natural product selected included resveratrol, honokiol, chrysin, limonene, cholecalciferol, cerulenin, aloe emodin, and salicin and had over 600 potential protein targets. Target profiling used the Ontomine set of tools for literature searches of potential binding proteins, binding constant predictions, binding site predictions, and pathway network pattern analysis. The analyses indicated that 6 of the 13 natural products predicted binding proteins which were important targets for established cancer treatments. Improvements in effectiveness were predicted for artificial combi

SUBMITTER: El-Shemy HA 

PROVIDER: S-EPMC3569894 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature