A review of computational drug repurposing

Area of Science:

• Pharmacology and Bioinformatics
• Drug Discovery and Development

Background:

• De novo drug development is expensive and slow.
• Drug repurposing offers an alternative, with approved drugs accounting for 30% of new US drugs.
• Computational drug repurposing is emerging due to large-scale data growth.

Purpose of the Study:

• To provide an overview of computational drug repurposing.
• To summarize repositioning strategies and computational methods.
• To discuss validation techniques and challenges in the field.

Main Methods:

• Review of existing literature on computational drug repurposing.
• Analysis of various repositioning strategies.
• Description of common computational methodologies.
• Examination of validation techniques for repurposing studies.

Main Results:

• Drug repurposing is a significant part of modern drug development.
• Computational approaches are increasingly vital for identifying new drug indications.
• Various strategies, methods, and validation techniques exist for computational drug repurposing.

Conclusions:

• Computational drug repurposing accelerates the identification of new therapeutic uses for existing drugs.
• The field is rapidly advancing due to data availability and computational power.
• Addressing remaining challenges is key to further optimizing computational drug repurposing.