Charles River Laboratories International, Inc. and Related Sciences, a data science-driven drug discovery firm, announced a multi-program collaboration agreement to apply Logica across several previously undrugged targets in the RS portfolio. Logica is an Artificial Intelligence (AI) powered drug solution that translates biological insights into optimized assets.
Under the collaboration, RS will work closely with the Charles River and Valo Health teams to deploy Logica to discover valuable new medicines to address key unmet needs across a range of disease areas, including cancer immunotherapy, autoimmunity, and inflammatory diseases.
“Partnering with the team at Related Sciences, we are excited to deploy Logica in the hunt for first-in-class therapeutics,” said Julie Frearson, PhD, Senior Vice President and Chief Scientific Officer, Charles River. “Logica’s unique platform, which combines AI/machine learning (ML)-enabled in silico discovery, high-powered DNA-encoded libraries, and traditional screening techniques, has the capability to accelerate the drug discovery and development pipeline, transforming a target to a candidate in just over two years.”
“Across our growing portfolio, Related Sciences brings together specialized technologies and orthogonal screening approaches that can maximize our chances of discovering transformational new medicines against high value targets,” said Adam Kolom, Founder and CEO of Related Sciences. “Logica’s combination of advanced AI/ML and state-of-the-art hit finding approaches, within a unique risk-sharing business model, pairs beautifully with Related Sciences’ data science-driven, multi-technology approach to drug discovery.”