Genomic strategies for drug repurposing

Area of Science:

• Genomics and Bioinformatics
• Pharmacology and Drug Discovery

Background:

• Functional genomics investigates gene and product functions to understand diseases and identify drug targets.
• Drug repurposing offers an economically viable strategy for discovering novel therapeutic applications for existing medications.

Purpose of the Study:

• To explore the role of functional genomics in advancing drug discovery and repurposing, with a focus on oncology.
• To highlight the potential of integrating genomic data with computational approaches for identifying novel therapeutic strategies.

Main Methods:

• Utilizing gene expression profiling and Mendelian randomization for identifying potential drug candidates.
• Employing computational science for the investigation and modeling of large-scale gene expression networks.
• Leveraging publicly available databases and data mining techniques for cancer treatment development.

Main Results:

• Genomics facilitates the identification of molecular characteristics and interactions relevant to disease and therapy, aiding drug repurposing.
• The integration of DNA, RNA, and protein data, similar to pharmacogenomics, is crucial for developing targeted cancer therapeutics.
• Next-generation sequencing and proteomics offer significant opportunities for functional genomics applications in drug discovery.

Conclusions:

• Functional genomics, despite extensive literature, remains underexplored in cancer drug discovery.
• Expanding the application of functional genomics holds substantial promise for accelerating drug discovery and repurposing in oncology.
• The synergy between functional genomics, computational biology, and data mining is key to developing innovative cancer treatments.