SUPR
Prioritisation of Drug Response Across Diseases
Dnr:

SNIC 2022/22-1154

Type:

SNIC Small Compute

Principal Investigator:

Xuexin Li

Affiliation:

Karolinska Institutet

Start Date:

2023-01-18

End Date:

2024-02-01

Primary Classification:

10610: Bioinformatics and Systems Biology (methods development to be 10203)

Webpage:

Allocation

Abstract

Drug compound signatures genes are derived from compounds treated cell lines and there is a possibility to link compound-related signatures to different diseases to observe drug-disease relationships. In this study, we will utilise data from drug-repurposing hub Connectivity Map (CMap, clue.io), to associate expression data with disease-specific pathways and drugs, and generate a drug prioritisation score similar to that of CMap, to derive the top associated drugs with diseases. We will conduct mass screening of drug-associations across various disease, to derive a final drug-disease hub for querying of drug-disease interactions and associations.