Exploiting similarity in drug molecular effects for drug repurposing.

ABSTRACT:

Background

Using large data to propose new uses of drugs has potential to rapidly prioritize new treatments for major diseases of public health importance. One comprehensive data set, LINCS L1000 Connectivity Map, profiles gene expression associated with thousands of compounds, including many with known clinical uses. But, some recent studies have questioned the reliability of this data, and the best approach to use this resource for drug repositioning is not well established.

Methods

Here, we develop a novel generalizable approach by hypothesizing that new treatments for a disease should induce similar gene expression to existing treatments for a disease. Using the Drug Repurposing Hub compendium of known treatments, we formulate a combined logistic regression model to pred

SUBMITTER: Huang K 

PROVIDER: S-EPMC12487472 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature