Artificial intelligence framework identifies candidate targets for drug repurposing in Alzheimer's disease.

ABSTRACT:

Background

Genome-wide association studies (GWAS) have identified numerous susceptibility loci for Alzheimer's disease (AD). However, utilizing GWAS and multi-omics data to identify high-confidence AD risk genes (ARGs) and druggable targets that can guide development of new therapeutics for patients suffering from AD has heretofore not been successful.

Methods

To address this critical problem in the field, we have developed a network-based artificial intelligence framework that is capable of integrating multi-omics data along with human protein-protein interactome networks to accurately infer accurate drug targets impacted by GWAS-identified variants to identify new therapeutics. When applied to AD, this approach integrates GWAS findings, multi-omics data from brain samples

SUBMITTER: Fang J 

PROVIDER: S-EPMC8751379 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature