Network Proximity-based computational pipeline identifies drug candidates for different pathological stages of Alzheimer's disease.

ABSTRACT: Despite the massive investment in Alzheimer's disease (AD), there are still no disease-modifying treatments (DMTs) for AD. One major reason is attributed to the limitation of clinical "one-size-fits-all" approach, since the same AD treatment solely based on clinical diagnosis was unlikely to achieve good clinical efficacy. In recent years, computational approaches based on multiomics data have provided an unprecedented opportunity for drug discovery since they can substantially lower the costs and boost the efficiency. In this study, we intended to identify potential drug candidates for different pathological stages of AD by computationally repurposing Food and Drug Administration (FDA) approved drugs. First, we assembled gene expression data from three different AD pathological stages, wh

SUBMITTER: Wu Q 

PROVIDER: S-EPMC10015208 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature