Ultimately, we aim to make cell images as computable as genomes and transcriptomes. By coordinating assay procedures across the partners, future created data will be well-matched. JUMP-CP will create the necessary validation, technical know-how, and data to bring Cell Painting to bear on a key bottleneck in drug discovery, while nucleating and catalyzing the worldwide community that uses the technology. About this artwork: Classification, Techniques & Styles Oil Paint consisting of. This valuable public resource will then be available for other applications, including predicting compounds’ activity and toxicity, matching drugs to disease states, and more. Painting titled JUMP by Marcin Mikoajczak, Original Artwork, Oil. We will create an unprecedented public data set to validate and scale up this image-based drug discovery strategy. We believe it will transform drug discovery by relieving a major bottleneck in the pharma pipeline: determining the mechanism of action of potential therapeutics prior to introduction into patients.
=įunded in part by the Bits to Bytes Capital Call of the Massachusetts Life Sciences Center (MLSC), the JUMP-Cell Painting Consortium is creating a new data-driven approach to drug discovery based on cellular imaging, image analysis, and high dimensional data analytics. = Lots of our data is now public! See our Results page.
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