Arctoris and Evariste form joint venture for NSCLC treatment

Published: 14-Mar-2022

Current treatment options for non-small cell lung cancer are limited, the companies say, especially in advanced stages

Biopharma company Arctoris and Evariste Technologies, an AI-drug discovery company, have formed a joint venture to identify novel small molecule kinase inhibitors for treatment of patients with non-small cell lung cancer (NSCLC).

Current treatment options for the condition are limited, the companies say, especially in advanced stages. It has also been shown the proto-oncogene cMET is mutated or upregulated in approximately 5% of all NSCLC cases. While the gene has been successfully targeted by two recently approved drugs (Tepotinib and Capmatinib), rapid development of resistance has been reported and there is a clear need for improved second-generation cMET inhibitors to overcome resistance.

The two companies are combining their platforms for AI-guided and robotics-powered drug discovery to develop a set of kinase inhibitors against cMET. The partnership will bring together quantitative decision making and generative chemistry, combined with real-time biological and biochemical profiling and data generation, with the aim of significantly accelerating the design-make-test-analyse cycle. The companies will also use their links to centres for NSCLC treatment to leverage clinical insights, inform their discovery and development efforts and directly address the limitations of currently available therapies.

“We are really excited to be working with Arctoris on this project. There is a huge need for next generation cMET inhibitors for NSCLC. This is a cancer that affects millions globally, and we hope that we can bring meaningful benefit to some of these lives in the near future,“ said Dr Nicholas Firth, CEO of Evariste Technologies.

Arctoris CEO Martin-Immanuel Bittner MD DPhil FRSA said: “Together with our partners at Evariste, we are developing novel treatment options in NSCLC against a fully validated target, where first generation inhibitors can be improved on in a clinically meaningful way. Combining patient-derived insights on resistance and toxicity patterns with AI-powered molecule design and our robotic platform, Ulysses, we aim to develop superior next generation inhibitors within a significantly accelerated time frame.”

You may also like