Recursion has predicted the protein target(s) for approximately 36 billion chemical compounds in the Enamine REAL Space, reported to be the world’s largest searchable chemical library. These advances were made possible by NVIDIA DGX Cloud supercomputing and the recent acquisition of Cyclica’s MatchMaker technology.
SALT LAKE CITY, Aug. 08, 2023 (GLOBE NEWSWIRE) -- Recursion (NASDAQ: RXRX), a leading clinical stage TechBio company decoding biology to industrialize drug discovery, today announced it has successfully screened the Enamine REAL Space chemical library using its MatchMaker technology, recently acquired from Cyclica, to predict the protein target(s) for approximately 36 billion chemical compounds. This accomplishment was made possible by several other enabling discoveries, including the predicted structures derived from the AlphaFold2 database for more than 15,000 human proteins containing more than 80,000 potential binding pockets, as well as the Enamine REAL Space, which is reported to be the world’s largest searchable chemical library comprised of approximately 36 billion make-on-demand molecules. In total, this screen digitally evaluated more than 2.8 quadrillion small molecule-target pairs.
“This achievement represents a significant and exciting step toward achieving our mission of decoding biology and chemistry,” said Chris Gibson, Ph.D., Co-Founder and CEO of Recursion. “Until this point, the groundbreaking progress across biology and chemistry that enabled this moment – namely, AlphaFold, the Enamine virtual chemical library and the rapid advancement of large-scale compute and new machine learning approaches – have largely lived in isolation of one another or have been bridged at relatively small scales. Leveraging Recursion’s machine learning and computational expertise and NVIDIA’s technology, we have layered these advances together to predict how each of the molecules in this vast chemical universe may interact with the protein universe.”
The company generated this massive new data layer of predicted interactions in less than 90 days after closing the acquisition of Cyclica and in under 30 days since initiating the collaboration with NVIDIA.
MatchMaker uses machine learning to assess whether a small molecule is compatible with a specific protein binding pocket, providing a solution that is significantly less computationally intensive and much more scalable than traditional docking and physics-based interaction simulations. Similar to Recursion’s phenomics platform, the scalability of MatchMaker enables a “high-dimensional” view of biochemistry: activity is predicted not just for a single target, but for many at the same time. This enables three core advantages: First, this predicted data layer can be used to determine which wet-lab experiments should be executed to advance programs faster across a wide range of targets and chemical space. Second, this predicted data layer can be used as part of Recursion’s multi-modal dataset to better understand biological activity across programs quickly and at scale. Finally, this approach can pre-screen for more computationally expensive precision modeling techniques implemented by Recursion’s computational and digital chemistry teams, to more efficiently advance programs.
“We are excited to collaborate with Recursion to explore the chemical space and support our mission to accelerate drug discovery,” said Andrey Tolmachev, Ph.D., Founder and Owner of Enamine. He continued: “This achievement in the 36 Billion REAL Space is just a start of our journey. The chemical knowledge accumulated at Enamine over its 35-years history allows us to explore trillions of relationships without compromising the high success rate of synthesis. We believe the predictions made by Recursion can help us prioritize parts of the chemical universe and provide an opportunity to develop focused chemical spaces and novel compounds around discovered hits quickly.”
Much of the initial testing and infrastructure development for the project was completed using BioHive-1, Recursion’s in-house supercomputer, an NVIDIA DGX SuperPOD, which is ranked among the top 125 most powerful supercomputers in the world across any industry by TOP500 as of June 2023. The final analysis was made possible by NVIDIA’s DGX Cloud, an advanced AI-training-as-a-service solution to which Recursion gained access following its recently announced collaboration with NVIDIA. Recursion worked with urgency to make this effort happen in a short period of time.
“Bringing together powerful data, AI and data-center scale compute, Recursion’s MatchMaker running on NVIDIA DGX Cloud essentially created a time machine for the company’s drug discovery program and sets a new bar for the industry,” said Kimberly Powell, Vice President of Healthcare at NVIDIA. “Within one week, the Recursion team was able to achieve what would have otherwise taken 100,000 years to compute with physics-based methods — setting the stage for a wet-lab, dry-lab flywheel to better predict drug-target interactions and increase a drug’s probability of success in the clinic.”
Recursion plans to leverage this new database of predictions to industrialize its chemistry operations across its pipeline and in service to its partners, enabling significantly greater efficiency in its medicinal chemistry cycles. Further, Recursion plans to continue improving and expanding the number and type of chemical properties and interactions it can predict using in-house tools, tools acquired through the acquisition of Cyclica, and tools being developed by Valence Labs, the semi-autonomous research hub powered by Recursion and formed through the acquisition of Valence Discovery.
Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale — up to millions of wet lab experiments weekly — and massive computational scale — owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology, and chemistry to advance the future of medicine.
Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal and the San Francisco Bay Area. Learn more at www.Recursion.com, or connect on Twitter and LinkedIn.
Headquartered in Kyiv, Ukraine, Enamine combines a CRO profile with the production and multilevel supply of innovative screening libraries, novel building blocks, fragments, and various functional compounds, including covalent and protein degradation compounds. The company provides integrated support in early drug discovery, including biological screening, hit-to-lead, and lead optimization projects. The major assets of the company are the collection of 4 million screening compounds backed up by 36 billion REAL Compounds for hit follow-up, and the dynamically growing catalog of over 300,000 building blocks. Enamine offers collaborative expertise to exclusively design and screen libraries of novel small molecular weight compounds and fragments.
This document contains information that includes or is based upon "forward-looking statements" within the meaning of the Securities Litigation Reform Act of 1995, including, without limitation, those regarding the outcomes and benefits expected from the NVIDIA partnership and Cyclica and Valence Discovery acquisitions and the launch of Valence Labs; early and late stage discovery, preclinical, and clinical programs; licenses and collaborations; prospective products and their potential future indications and market opportunities; the Recursion OS and other technologies, including MatchMaker, the Enamine REAL Space chemical library and NVIDIA’s DGX Cloud; business and financial plans and performance; and all other statements that are not historical facts. Forward-looking statements may or may not include identifying words such as "plan," "will," "expect," "anticipate," "intend," "believe," "potential," "continue," and similar terms. These statements are subject to known or unknown risks and uncertainties that could cause actual results to differ materially from those expressed or implied in such statements, including but not limited to: challenges inherent in pharmaceutical research and development, including the timing and results of preclinical and clinical programs, where the risk of failure is high and failure can occur at any stage prior to or after regulatory approval due to lack of sufficient efficacy, safety considerations, or other factors; our ability to leverage and enhance our drug discovery platform; our ability to obtain financing for development activities and other corporate purposes; the success of our collaboration activities; our ability to obtain regulatory approval of, and ultimately commercialize, drug candidates; our ability to obtain, maintain, and enforce intellectual property protections; cyberattacks or other disruptions to our technology systems; our ability to attract, motivate, and retain key employees and manage our growth; and other risks and uncertainties such as those described under the heading "Risk Factors" in our filings with the U.S. Securities and Exchange Commission, including our most recent Quarterly Report on Form 10-Q and our Annual Report on Form 10-K. All forward-looking statements are based on management's current estimates, projections, and assumptions, and Recursion undertakes no obligation to correct or update any such statements, whether as a result of new information, future developments, or otherwise, except to the extent required by applicable law.