Artificial intelligence (AI) is playing an increasingly important role in drug target identification and assessment, based on its proficiency in analysing large datasets and biological networks. This article reviews advances in the application of AI-driven approaches for therapeutic target exploration, and discusses how to address challenges and limitations in the field.
- Frank W. Pun
- Dmitriy Podolskiy
- Alex Zhavoronkov