Modern drug discovery is a long and tedious process which takes, on average, at least 10 years and 2 billion USD to bring a drug to market. One of the most critical challenges in our industry today is accelerating this costly process. With advancements in artificial intelligence and computational biology, computational pharmacy is now playing an increasingly important role in modern drug discovery.
In this talk, Dr. Yuan will illustrate computational biology and artificial intelligence applications to answer fundamental questions in life science, especially in the area of G protein-coupled receptors (GPCRs). He will also discuss how to speed up modern drug discovery in an ultimately efficient way. Finally, Dr. Yuan will share his personal success story of developing “first-in-class” drug molecules and advancing them into clinical trials.
