Drug Discovery and Development

Artificial Intelligence in Drug Discovery

Artificial intelligence (AI), and the subfield of machine learning (ML), study the processes and practicalities of enabling machines to skilfully perform intelligent tasks, without explicitly being programmed for those taskAI systems have neared or surpassed human performance in several tasks, such as game playing and image recognition , but these have typically been quite narrow and focused domains. Even so, AI in its various forms is today efficaciously pragmatic across a large range of domains and for challenging tasks, ranging from robotics, speech translation, image analysis and logistics to its ongoing use in designing molecules.  AI and ML methods to dares in drug discovery endure the same as they ever were bringing the best drugs to the clinic to satisfy unmet medical need. For drug unearthing and medicinal chemistry vaguely, this embroils tasks in identifying drug targets, identifying lead compounds, optimizing their designs against multiple property profiles of interest and identifying synthetic routes to realize the composition of matter.