Q&A: How Insilico Medicine’s AI identified a new IPF drug target in record time

Alex Zhavoronkov, Ph.D.

Idiopathic Pulmonary Fibrosis (IPF), a devastating lung disease affecting millions with increasing incidence, may have a new treatment hope thanks to a novel inhibitor of TNIK, a kinase newly implicated in fibrosis, identified using generative AI drug discovery platforms in just 18 months.

Researchers at Insilico Medicine, along with international collaborators, harnessed the power of AI platforms PandaOmics and Chemistry42 to make a breakthrough discovery. Nature Biotechnology recently published the group’s findings, showcase the potential of AI to accelerate drug discovery. The scientists identified TNIK as a promising therapeutic target for fibrotic diseases and developed INS018_055, a potent TNIK inhibitor. Preclinical models demonstrated INS018_055’s superior anti-fibrotic and anti-inflammatory effects compared to current treatments.

Beyond fibrotic diseas…
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CEO: Insilico on how AI can ‘imagine the perfect molecules’ for drug targets

Insilico’s AI-driven drug discovery process, showcased in their AI-powered robotics lab [Image courtesy of Insilico Medicine]

Insilico Medicine, an AI-based biotech startup, announced details of their first AI-designed drug candidate to enter human clinical trials. INS018_055 is an experimental treatment for idiopathic pulmonary fibrosis, a rare lung disease. Through their Insilico AI-driven drug discovery platform, they discovered and designed INS018_055 in just 30 months, significantly faster than the industry average. Phase 1 trials of INS018_055 have been completed in New Zealand and China, showing a favorable safety profile. Insilico plans to launch Phase 2 trials in 2023 to further evaluate the drug’s efficacy and tolerability. If successful, INS018_055 could provide a new treatment option for patients with idiopathic pulmonary fibrosis. The trial results also demonstrate the potential of AI to accele…
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