A Hypothesis-Agnostic Approach to Accelerating Drug Discovery - Dr. Chris Gibson, Co-Founder and CEO of Recursion
Dec 14, 2022
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Dr. Chris Gibson, Co-Founder and CEO of Recursion, shares their mission to accelerate drug discovery by leveraging advances in genetics, AI, and more. They discuss their departure from the hypothesis-based approach, their success in animal testing, and the reengineering of drug discovery. Topics also include the merging of biology and advanced technology, recent scientific advancements in healthcare, and the concept of iteration and learning in drug discovery.
Recursion utilizes cutting-edge technologies, including image-based approaches and neural networks, to accelerate the drug discovery process.
By adopting a hypothesis-agnostic approach, Recursion successfully achieved results in animal testing by modeling genetic loss of function and identifying drivers of diseases.
Deep dives
Recursion: Revolutionizing Drug Discovery with Technology and Scale
Recursion, led by co-founder and CEO Chris Gibson, is on a mission to create a more efficient path to drug discovery. With the use of one of the most powerful supercomputers in the world, Recursion has built a giant automated laboratory that can conduct up to 2.2 million experiments per week. They have developed an image-based approach that allows them to profile millions of molecules and thousands of genetic contexts, enabling them to map and navigate the relationships among various genes, proteins, and diseases. Recursion has focused its efforts on rare genetic diseases and oncology, where genetic drivers play a significant role. They have also entered partnerships, such as with Roche-Genentech and Bayer, to explore broader areas of biology. With their innovative approach, Recursion is poised to contribute to exponential growth in the number of new medicines and advance precision and personalized medicine.
The Power of High Throughput and Technology in Drug Discovery
Recursion has leveraged high throughput technology to revolutionize the drug discovery process. They have built a massive automated laboratory equipped with robots that can conduct up to 2.2 million experiments per week. Using image-based approaches, they generate over 10 million microscopy images per week, allowing them to profile and analyze vast amounts of biological data. They have also developed their own small molecule library, with nearly 2 million physically present molecules, and they utilize one of the 500 fastest supercomputers in the world to train neural networks on the data they generate. In addition to their image-based approach, Recursion has expanded into other areas, such as transcriptomics and animal work. By operating at a massive scale and employing cutting-edge technologies, Recursion is able to accelerate the drug discovery process and make significant advancements in the field.
Focus on Rare Genetic Diseases and Precision Medicine
Recursion initially focused on rare genetic diseases and continues to prioritize this area in their drug discovery efforts. With their CRISPR-based tools, they can rebuild and study the effects of specific genetic mutations in human cells. By exploring thousands of genetic contexts and millions of potential molecules, they can identify drugs that may rescue the complex signatures associated with genetic diseases. Recursion's approach allows them to isolate variables and uncover relationships between genes, proteins, and diseases, leading to the development of targeted therapies. They believe that the convergence of various technologies and tools, such as RNA medicines and high-dimensional data analysis, will drive exponential growth in the number of new medicines and redefine how common diseases are understood and treated. This will ultimately lead to precision and personalized medicine based on a deeper understanding of biology.
Culture of Learning and Innovation in Drug Discovery
Recursion has fostered a culture of learning and innovation where good ideas are valued regardless of the source within the company. With a team of dedicated professionals from diverse backgrounds, Recursion encourages collaboration and exploration. They stay on top of the latest developments and advancements in science by giving their team the freedom to pursue their interests and engage with various scientific publications and articles. Recursion's commitment to learning and innovation has resulted in breakthroughs, such as their ability to predict drugs that may work in specific genetic conditions without direct testing. Through their mapping and navigating approach, they provide guidance to patient advocacy groups and seek opportunities to expand their drug discovery pipeline. Recursion acknowledges the contributions of scientists in the industry and academia who have paved the way for advancements in drug discovery and emphasizes the importance of collaboration and recognizing the complexity of biology.
“I’m currently sitting 100 feet away from a giant lab full of robots where we can do up to 2.2 million experiments a week,” says Dr. Chris Gibson, the Co-Founder and CEO of Recursion, a company whose mission is to create a more efficient path to drug discovery. You are going to hear a lot of mind-boggling numbers from Chris in today’s Raise the Line episode, but they all boil down to this: advances in genetics, computing, artificial intelligence, mRNA capability and other technologies are all converging to accelerate the testing of drugs at an incredible pace. This is particularly good news for people with rare diseases who are often in a race against time for development of therapies. Although only founded nine years ago, Recursion already has four programs in clinical trials. A key factor in this success is a bold departure from the traditional hypothesis-based approach to science driven by lab failures Chris experienced while earning his MD-PhD. Once he and his colleagues cast aside their bias about what was driving the disease in question, they achieved success in animal testing. “We just modeled the genetic loss of function because we knew that incontrovertibly to be true, and then asked the cells what was actually driving the disease and what could make it better.” Don’t miss this fascinating look at reengineering drug discovery through gene mapping, training neural networks and other leading-edge technology.