Insilico Medicine has entered into a research and licensing agreement with Eli Lilly to apply its Pharma.AI platform to generate and optimise novel drug compounds with potential payments exceeding US $100 million (including upfront, milestones and royalties) under the deal.
Glimpse:
Under this expanded collaboration, Insilico will leverage its generative/AI-driven discovery tools while Lilly provides target definition and development expertise. The partnership builds on their 2023 licence deal and aims to accelerate drug discovery timelines dramatically.
Insilico Medicine, a clinical-stage company specialising in generative artificial-intelligence-driven drug discovery, announced that it has entered a new research and licensing collaboration with Eli Lilly and Company. According to the agreement, Insilicoβs Pharma.AI platform will be used to generate, design and optimise candidate compounds for targets defined by Lilly. Insilico is eligible for over US $100 million in payments covering an upfront payment, research/development milestones and tiered royalty payments on net sales of any resulting commercialised drug products.
The collaboration deepens an already existing relationship: Lilly had previously licensed access to Insilicoβs AI-software suite in 2023. With this new deal, they move from being a customer into a true R&D partner. Insilico reports that its platform has nominated 20+ preclinical candidates since 2021, achieving an average time to preclinical candidate nomination of just 12-18 months (versus the typical multi-year timeline).
The move signals major confidence in AIβs potential to transform early-stage drug R&D β condensing discovery timelines, reducing molecule synthesis/tests needed, and accelerating the pipeline. According to Alex Zhavoronkov, Founder & Co-CEO of Insilico:
βLilly has been a valued user of our Pharma.AI software suiteβ¦ By joining forces we are accelerating the development of transformative therapies to address urgent patient needs worldwide.β
Both companies say details of target areas are not yet disclosed. The agreement may set precedent in the industry for larger drug-discovery collaborations centred on AI.
βWhen generative AI meets deep disease-area expertise, the pipeline shifts from years to months.β
By
HB Team

