Unleashing Discoveries in Disease Biology with Recursion's Revolutionary Technologies

Table of Contents:

1. Introduction
2. The Power of Recursion's Unique Mapping and Navigating Technologies
3. Exploring Known and Unknown Areas of Disease Biology 3.1 Using Image-Based High-Dimensional Data 3.2 Conducting Millions of Experiments Every Week
4. Starting the Exploration: Breast Cancer as an Example 4.1 Utilizing the Human Phenotype Ontology 4.2 Identifying Known Breast Cancer-Associated Genes 4.3 Discovering Emerging Relationships in Recursion's Map
5. Patterns and Clusters in Recursion's Data 5.1 Identifying Tight Clusters of BRCA-Associated Genes 5.2 Uncovering Associations of Cancer-Associated Pathways
6. The Unique Power of Recursion's Platform 6.1 Seeing Relationships within Biology and Chemistry 6.2 Zooming into Gene-Compound Relationships
7. Validating Relationships with Well-Known Compounds
8. The Expansion of Recursion's Data Universe 8.1 Exploring Associations with Compounds in Recursion's Chemical Library 8.2 Discovering New Biology and Marking Existing Biology
9. Connecting Biology and Chemical Starting Points 9.1 Initiating and Advancing Drug Discovery Programs
10. The Vastness of Recursion's Data Universe 10.1 Zooming Out: Associations Between Diseases and Genes 10.2 Associations Between Pairs of Genes 10.3 Relationships Among Genes and Compounds
11. Industrializing Drug Discovery with Recursion's Maps of Biology
12. Conclusion

The Power of Recursion's Unique Mapping and Navigating Technologies

In today's rapidly evolving field of drug discovery, the ability to explore the complex landscape of disease biology is paramount. Recursion, with its cutting-edge mapping and navigating technologies, offers a unique approach to uncovering both known and unknown areas of disease biology. Through the utilization of image-based high-dimensional data, generated through millions of experiments conducted in their highly automated labs, Recursion has revolutionized the way we discover potential new medicines.

Exploring Known and Unknown Areas of Disease Biology

To understand how Recursion's platform operates, let's take a concrete example—breast cancer. By leveraging external datasets like the human phenotype ontology, Recursion's drug discovery scientists can identify genes known to be associated with breast cancer. These genes form the basis of their exploration into the disease biology.

Using Image-Based High-Dimensional Data

Recursion's maps of biology are built on image-based high-dimensional data. By capturing the cellular response to whole genome knockouts, chemical compounds, and other perturbations, Recursion generates a wealth of data that enables in-depth analysis and exploration.

Conducting Millions of Experiments Every Week

Recursion's highly automated labs are capable of conducting up to 2.2 million experiments every week. This incredible volume of experimentation allows for a comprehensive understanding of the relationships between genes, diseases, and compounds.

Starting the Exploration: Breast Cancer as an Example

By focusing on breast cancer, Recursion's drug discovery scientists initiate their exploration into the disease biology. The use of known breast cancer-associated genes, identified through external datasets, provides a starting point for their search.

Utilizing the Human Phenotype Ontology

The human phenotype ontology serves as a valuable resource for identifying genes associated with breast cancer. By leveraging this external data set, Recursion's scientists can uncover the yellow edges in their graph—the well-known breast cancer-associated genes.

Identifying Known Breast Cancer-Associated Genes

Through their exploration, Recursion's platform reveals patterns and relationships within breast cancer biology. For instance, clusters of BRCA-associated genes, such as BRCA1 and BRCA2, emerge strongly in their data. This natural clustering demonstrates the power of Recursion's platform in unraveling complex disease biology.

Discovering Emerging Relationships in Recursion's Map

As Recursion delves deeper into their maps of biology, they uncover additional relationships and pathways associated with breast cancer. Through the automated analysis of their data, Recursion recapitulates decades of scientific research, providing a comprehensive understanding of the disease.

Patterns and Clusters in Recursion's Data

The analysis of Recursion's data reveals intriguing patterns and clusters within disease biology. These insights pave the way for further discoveries and advancements in drug discovery.

Identifying Tight Clusters of BRCA-Associated Genes

Recursion's maps showcase tight clusters of BRCA-associated genes, such as PALB2, RAD51, and BARD1, which are strongly linked to breast cancer. The ability to naturally identify these clusters from the data highlights the power of Recursion's automated analysis.

Uncovering Associations of Cancer-Associated Pathways

Recursion's platform also uncovers the associations between cancer-associated pathways, such as RAS/RAF, HER2, and PI3 kinase, shedding light on the interconnectedness of various biological processes involved in disease progression. These discoveries, which typically would require years of scientific research, are quickly and effectively uncovered by Recursion.

Conclusion

Recursion's unique mapping and navigating technologies have transformed the field of drug discovery, enabling scientists to explore both known and unknown areas of disease biology. Through the analysis of image-based high-dimensional data and the identification of patterns and clusters, Recursion facilitates the discovery of potential new medicines. By integrating genetics and chemistry, Recursion paves the way for Novel insights and advancements in drug discovery. With their massive proprietary data set and industrialized approach, Recursion is at the forefront of revolutionizing the process of finding life-saving drugs.

(Note: The content has been paraphrased and condensed to fit the given WORD limit. The actual article would be much longer and more detailed.)

Resources:

• Recursion Pharmaceuticals (https://www.recursion.com/)