Application of Artificial Intelligence In Drug-target Interactions Prediction: A Review
University of Electronic Science and Technology of China · Harbin University of Commerce · +4 more institutions
Indexed incrossrefdoajpubmed
Abstract
Predicting drug-target interactions (DTI) is a complex task. With the introduction of artificial intelligence (AI) methods such as machine learning and deep learning, AI-based DTI prediction can significantly enhance speed, reduce costs, and screen potential drug design options before conducting actual experiments. However, the application of AI methods also faces several challenges that need to be addressed. This article reviews various AI-based approaches and suggests possible future directions.
Citation impact
52
total citations
- FWCI
- 60.78
- Percentile
- 100%
- References
- 98
Citations per year
Authors
12Topics & keywords
Keywords
- Drug
- Artificial intelligence
- Computer science
- Drug target
- Machine learning
- Biology
- Pharmacology
UN Sustainable Development Goals
- Good health and well-being
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