Advancing Drug Discovery via Artificial Intelligence
- PMID: 31320117
- DOI: 10.1016/j.tips.2019.06.004
Advancing Drug Discovery via Artificial Intelligence
Erratum in
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Advancing Drug Discovery via Artificial Intelligence.Trends Pharmacol Sci. 2019 Oct;40(10):801. doi: 10.1016/j.tips.2019.07.013. Epub 2019 Aug 23. Trends Pharmacol Sci. 2019. PMID: 31451243 No abstract available.
Abstract
Drug discovery and development are among the most important translational science activities that contribute to human health and wellbeing. However, the development of a new drug is a very complex, expensive, and long process which typically costs 2.6 billion USD and takes 12 years on average. How to decrease the costs and speed up new drug discovery has become a challenging and urgent question in industry. Artificial intelligence (AI) combined with new experimental technologies is expected to make the hunt for new pharmaceuticals quicker, cheaper, and more effective. We discuss here emerging applications of AI to improve the drug discovery process.
Keywords: QSAR; artificial intelligence; drug design; drug discovery; planning chemical syntheses; virtual screening.
Copyright © 2019 Elsevier Ltd. All rights reserved.
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