Nature Reviews Drug Discovery | Target Identification and Assessment in the Era of AI
A recent review in Nature Reviews Drug Discovery highlights the role of artificial intelligence in identifying therapeutic targets for drug development, a process that has traditionally taken decades. AI is being used to analyze complex data and uncover new targets, increasing the efficiency and effectiveness of drug discovery.
Target identification is a critical step in drug discovery and development. Traditionally, this process has taken months to decades, but artificial intelligence (AI) is now being used to speed it up. A recent review in Nature Reviews Drug Discovery highlights key considerations in target selection and breakthroughs in AI-driven approaches. The review emphasizes the importance of therapeutic hypothesis, druggability, safety, and commercial tractability in selecting optimal drug targets. AI's capacity to process complex multimodal data is being leveraged to uncover new targets and increase the efficiency of drug discovery. By integrating 'omics' data, machine learning models can identify disease-causing variants and uncover fundamental biological mechanisms.
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