SALT LAKE CITY and TORONTO and MONTRÉAL, May 9 (Bernama-GLOBE NEWSWIRE) -- Recursion (NASDAQ: RXRX), a leading clinical stage TechBio company decoding biology to industrialize drug discovery, today announced it has signed agreements to acquire two companies in the AI-enabled drug discovery space: Cyclica and Valence.
“Recursion has pioneered the massive, parallel generation of -omics data with machine learning in order to map and navigate biology to discover new medicines faster. The strategic acquisitions of Cyclica and Valence add industry-leading capabilities in digital chemistry, as well as machine-learning and artificial intelligence, which combined with our large-scale automated wet-laboratories and supercomputing capabilities, enables us to deploy what I believe is the most complete, technology-enabled drug discovery solution in the biopharma industry. We look forward to showing the world proof of the compounding benefit of this full-stack approach through the rapid acceleration of our pipeline and partnerships. Amidst a rapidly accelerating global race for technology talent, these acquisitions cement Recursion as the center of gravity for the best and brightest in ML and AI who want to reimagine how drugs are discovered,” said Chris Gibson, Ph.D., Co-Founder and CEO of Recursion. “I am so excited to welcome the Cyclica and Valence teams to Recursion, especially at such a dynamic moment in history when machine learning and artificial intelligence are creating so much rapid change across every industry.”Cyclica, headquartered in Toronto, has built two highly differentiated products in the digital chemistry space which will be integrated into the RecursionOS. MatchMaker™ is an AI-enabled deep learning engine that predicts the polypharmacology of small molecules as the foundation for small molecule drug discovery. It is able to generalize across the proteome and uses both AlphaFold2 structures and homology models. POEM™ (Pareto Optimal Embedding Model) is a unique similarity-based property prediction model. In contrast to other AI prediction models, POEM uses multiple types of molecular fingerprints to describe molecules, providing a much richer measure of similarity that leads to greater accuracy.
“Cyclica and Recursion both believe in the value of industrializing drug discovery,” said Naheed Kurji, CEO and Co-Founder of Cyclica. “Combining our proteome-wide prediction of small molecule-target interactions into Recursion’s data universe will create one of the largest fit-for-purpose biological and chemical datasets in the drug discovery space. Together, I believe Recursion will have an immense impact on human health in the years to come.”
Valence, headquartered in Montréal at Mila, the world’s largest deep learning research institute, is committed to unlocking the full potential of deep learning in the drug discovery process. The company has pioneered the application of low-data learning in drug design, unlocking the ability to design differentiated small molecules with improved properties and function from datasets too small, sparse, or noisy for traditional deep learning methods. Valence has an unparalleled track record of innovation in molecular machine learning, including best-in-class methods for AI-enabled structural biology, generative chemistry, and multi-parametric optimization, ultimately enabling the design of best-in-class or first-in-class chemistry against challenging biology.
“The integration of Valence’s powerful AI-based chemistry engine into Recursion’s diverse and data-rich operating system will help unlock the true power of AI-first digital chemistry and drug discovery,” said Daniel Cohen, CEO and Co-founder at Valence Discovery. “Recursion is a leader in technology-enabled drug discovery with a proven track record of leveraging data to uncover novel biology, and I’m thrilled for our teams to join forces and combine our respective strengths to rapidly advance new medicines to patients who need them.”
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