Computational Drug Repositioning by Target Hopping: A Use Case in Chagas Disease
Research output: Contribution to journal › Review article › Contributed › peer-review
Contributors
Abstract
BACKGROUND: Drug repositioning aims to identify novel indications for existing drugs. One approach to repositioning exploits shared binding sites between the drug targets and other proteins. Here, we review the principle and algorithms of such target hopping and illustrate them in Chagas disease, an in Latin America widely spread, but neglected disease.
CONCLUSION: We demonstrate how target hopping recovers known treatments for Chagas disease and predicts novel drugs, such as the antiviral foscarnet, which we predict to target Farnesyl Pyrophosphate Synthase in Trypanosoma cruzi, the causative agent of Chagas disease.
Details
Original language | English |
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Pages (from-to) | 3124-34 |
Number of pages | 11 |
Journal | Current pharmaceutical design |
Volume | 22 |
Issue number | 21 |
Publication status | Published - 2016 |
Peer-reviewed | Yes |
External IDs
Scopus | 84975749088 |
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ORCID | /0000-0003-2848-6949/work/141543372 |
Keywords
Sustainable Development Goals
Keywords
- Algorithms, Chagas Disease/drug therapy, Drug Repositioning, Humans, Models, Molecular, Polyisoprenyl Phosphates/antagonists & inhibitors, Sesquiterpenes/antagonists & inhibitors, Trypanocidal Agents/chemistry, Trypanosoma cruzi/drug effects