Ontology highlight
ABSTRACT:
SUBMITTER: Avchaciov K
PROVIDER: S-EPMC11230182 | biostudies-literature | 2024 Jun
REPOSITORIES: biostudies-literature
Avchaciov K K Clay K J KJ Denisov K K Burmistrova O O Petrascheck M M Fedichev P P
bioRxiv : the preprint server for biology 20240628
Analysis of lifespan-extending compounds suggested the most effective geroprotectors target multiple biogenic amine receptors. To test this hypothesis, we used graph neural networks to predict such polypharmacological compounds and evaluated them in <i>C. elegans</i>. Over 70% of the selected compounds extended lifespan, with effect sizes in the top 5% compared to the DrugAge database. This reveals that rationally designing polypharmacological compounds enables the design of geroprotectors with ...[more]