Charles River Laboratories International, Inc. and Valence Discovery announced the formation of a strategic partnership to provide clients access to Valence’s artificial intelligence platform for molecular property prediction, generative chemistry, and multiparameter optimization.
Building on research done by Valence’s founding team at Mila, the world’s largest deep learning research institute, the Valence platform enables the design of small molecule drug candidates in novel regions of chemical space, followed by rapid optimization against project-specific potency, selectivity, safety, and pharmacology criteria. Valence has pioneered the application of few-shot learning in drug design, allowing the company to unlock prediction tasks for which only small amounts of training data are available, overcoming a critical limitation of existing machine learning technologies in drug discovery.
Partnering to Accelerate Discoveries
By combining best-in-class machine learning technologies with Charles River’s end-to-end capabilities, the alliance has the potential to significantly accelerate discovery efforts from hit design through lead optimization.
Through the collaboration, Charles River clients will have the option to access Valence’s platform to support their drug discovery efforts. When taking advantage of this option, clients can expect increased diversity in chemical matter being investigated, in combination with more rapid optimization against complex, project-specific design criteria, ultimately reducing timelines and improving success rates for drug discovery projects.
About Valence’s AI-Enabled Drug Design Platform
The Valence platform expands upon academia-leading research done by the company’s founding team at Mila, the world’s largest deep learning research institute. In particular, Valence has pioneered the application of few-shot learning in drug design, allowing the company to unlock prediction tasks for which only small amounts of training data are available, including novel targets and complex ADME criteria, while also ensuring that AI-generated molecules are of high medicinal chemistry quality and readily synthesizable. In addition, Valence uses active learning and iterative optimization strategies to ensure that only the most information-rich compounds are selected for synthesis, enabling the design of compounds meeting the target potency, selectivity, and ADME criteria in fewer iterations, and with far less data, than otherwise possible.
About Valence Discovery
Valence is committed to unlocking the true potential of deep learning in drug design by unifying best-in-class deep learning technologies with intuitive infrastructure to make these technologies more broadly accessible to R&D organizations of all sizes. Valence’s AI-enabled drug design platform has been extensively validated and is currently being used to identify and design drug candidates in collaboration with industry-leading partners. The company is pioneering the application of few-shot learning in drug design and is developing and deploying novel machine learning methods for molecular property prediction, generative chemistry, and multiparameter optimization. Valence (formerly InVivo AI) was founded in 2018, is advised by deep learning pioneer, Dr. Yoshua Bengio, and is proudly headquartered in Montreal at Mila, the world’s largest deep learning research institute, with an office in Cambridge, Mass.
About Charles River
Charles River provides essential products and services to help pharmaceutical and biotechnology companies, government agencies and leading academic institutions around the globe accelerate their research and drug development efforts. Our dedicated employees are focused on providing clients with exactly what they need to improve and expedite the discovery, early-stage development and safe manufacture of new therapies for the patients who need them.
