UC San Diego scientists have developed a machine learning algorithm that simulates time-consuming chemistry in the initial phases of drug discovery. This could significantly streamline the process and open doors for treatments never seen before. Identifying drug candidates for further optimization typically requires thousands of individual experiments, but the new artificial intelligence (AI) platform could potentially deliver the same results in a fraction of the time.