Dr. Reddy's Aurigene intros Aurigene.AI
Aurigene Pharmaceutical Services, a Dr. Reddy’s company, is introducing Aurigene.AI, an AI and ML-assisted platform for accelerating drug discovery projects from hit identification to candidate nomination.
Aurigene.AI combines advanced physics-based simulation, generative and predictive AI models and Computer-Aided Drug Design in one platform, allowing users to pick the appropriate algorithms for a given application. The modular platform also consists of a meticulously curated database of 180 million compounds and 1.6 million validated bioassay data points. This database is ever-expanding and serves as training data for the platform.
[Read more: Dr. Reddy's acquires MenoLabs from Amyris]
Aurigene.AI is hosted on Google Cloud, which offers a scalable infrastructure for handling large datasets and efficient computation while safeguarding client data confidentiality, the company noted.
Integrating AI and ML-based solutions with Aurigene's core capabilities in chemical design, synthesis, and assessment in bioassays will facilitate faster development of novel therapeutics. Discovery scientists at Aurigene have validated the platform using a case study and demonstrated that the application of Aurigene.AI reduced the cycle time from chemical design to synthesis and testing by 35%, the company said.
Akhil Ravi, CEO of Aurigene, said, “We are committed to continually advancing our service experience and providing innovative end-to-end solutions to our global partners. Aurigene.AI is an important addition to our small molecule discovery offering and represents a data-driven approach to novel therapeutic development.”
[Read more: Dr. Reddy's intros generic Revlimid]
Gayathri Ramaswamy, global head of discovery services at Aurigene Pharmaceutical Services, said, “The addition of AI and iterative machine learning capabilities to our core expertise in synthesizing and testing molecules will significantly reduce the DMTA cycle time in the discovery process. Aurigene.AI augments our core scientific capabilities in the small molecule discovery space and will serve as an efficient engine towards identifying a drug candidate.”