With the integration of data, computational power and algorithms, artificial intelligence (AI) is changing the traditional model of discovery and development of drugs. This synergistic collaboration improves efficiency, precision and success of drug research while reducing development times and costs. Together with automatic learning (ML) and deep learning (DL), AI has advanced in many drugs of drug research, including the characterization of medicines, discovery and validation of objectives, the design of small molecules medications and the acceleration of the clinical trial. Specifically using molecular generation approaches. [1]
This article describes the effective use of how to integrate artificial intelligence into the discovery of drugs in the future of pharmaceutical products, including the role of AI in the discovery of drugs and the benefits of AI in the discovery of drugs.
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