Computational Approaches for Cancer-Fighting: From Gene Expression to Functional Foods.

ABSTRACT: It is today widely accepted that a healthy diet is very useful to prevent the risk for cancer or its deleterious effects. Nutrigenomics studies are therefore taking place with the aim to test the effects of nutrients at molecular level and contribute to the search for anti-cancer treatments. These efforts are expanding the precious source of information necessary for the selection of natural compounds useful for the design of novel drugs or functional foods. Here we present a computational study to select new candidate compounds that could play a role in cancer prevention and care. Starting from a dataset of genes that are co-expressed in programmed cell death experiments, we investigated on nutrigenomics treatments inducing apoptosis, and searched for compounds that determine the same exp

SUBMITTER: Monticolo F 

PROVIDER: S-EPMC8393935 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature