DrugRepoBank: a comprehensive database and discovery platform for accelerating drug repositioning

Area of Science:

• Pharmacology
• Bioinformatics
• Drug Discovery

Background:

• Drug repositioning is a cost-effective alternative to de novo drug development.
• Existing drug repositioning databases suffer from limited data, poor organization, and inadequate analytical tools.

Purpose of the Study:

• To introduce DrugRepoBank, the first comprehensive database for drug repositioning.
• To address the limitations of current drug repositioning resources.

Main Methods:

• Developed DrugRepoBank with two modules: 'Literature' and 'Prediction'.
• The 'Literature' module compiles 169 repositioned drugs from 134 articles (2000-2023).
• The 'Prediction' module integrates 18 algorithms for identifying potential drug candidates.

Main Results:

• DrugRepoBank provides an extensive repository of literature-supported drug repositioning data.
• The database offers predictive capabilities using diverse algorithms.
• Features include a user-friendly interface, bioinformatics analysis, and case study validation.

Conclusions:

• DrugRepoBank significantly enhances drug repositioning efficiency.
• The database facilitates the discovery of new drug indications and targets.
• It accelerates the overall drug repositioning process.