Next-generation drug repurposing using human genetics and network biology
| Autor: | Philippe Rinaudo, Serguei Nabirotchkin, Jinchao Yu, Alex E. Peluffo, Rodolphe Hajj, Daniel Cohen |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Computer science Context (language use) 030226 pharmacology & pharmacy Machine Learning 03 medical and health sciences 0302 clinical medicine Drug Discovery Animals Humans Gene Regulatory Networks Pharmacology business.industry Drug discovery Drug Repositioning Human Genetics Genetic Therapy Data science Human genetics Drug repositioning 030104 developmental biology Identification (biology) Lower cost Personalized medicine business Biological network Genome-Wide Association Study |
| Zdroj: | Current opinion in pharmacology. 51 |
| ISSN: | 1471-4973 |
| Popis: | Drug repurposing has attracted increased attention, especially in the context of drug discovery rates that remain too low despite a recent wave of approvals for biological therapeutics (e.g. gene therapy). These new biological entities-based treatments have high costs that are difficult to justify for small markets that include rare diseases. Drug repurposing, involving the identification of single or combinations of existing drugs based on human genetics data and network biology approaches represents a next-generation approach that has the potential to increase the speed of drug discovery at a lower cost. This Pharmacological Perspective reviews progress and perspectives in combining human genetics, especially genome-wide association studies, with network biology to drive drug repurposing for rare and common diseases with monogenic or polygenic etiologies. Also, highlighted here are important features of this next generation approach to drug repurposing, which can be combined with machine learning methods to meet the challenges of personalized medicine. |
| Databáze: | OpenAIRE |
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