Within 21days AI designs Fibrosis Drug
Do you know Artificial Intelligence system called generative tensorial reinforcement learning (GENTRL) helped design six promising treatments for fibrosis in 21 days? The new technology leveraged Insilico’s groundbreaking academic research in 2016 about using modern AI techniques of generative adversarial networks (GAN) and generative reinforcement learning (RL) to accelerate drug discovery.
When we first proposed the idea of using the AI technique of generative adversarial networks to accelerate drug discovery in 2016, most of the industry was sceptical,” said Zhavoronkov.
The creation of the new molecules marks the industry’s first scientific validation of using generative and reinforcement learning AI technologies for the successful discovery and generation of new molecules.
In a similar technique used by DeepMind to outcompete human GO players, GENTRL, powered by generative chemistry that utilizes modern AI techniques, can rapidly generate novel molecular structures with specified properties. Insilico has also made GENTRL’s source code available as open-source on Microsoft-owned repository GitHub.
In comparison, traditional drug discovery starts with the testing of thousands of small molecules.
