Episode 79: How can deep learning help improve drug discovery?

Neural networks have recently been applied to many biological problems, including drug discovery. Applications of DNNs combined with domain expertise can help design de novo druglike compounds and generate large virtual chemical libraries, which can be more efficiently screened for in silico drug discovery purposes. Polina describes aspects of applications of deep adversarial networks and reinforcement learning for molecular de novo design.