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US 2022/0186401 A1Published application
Systems and methods to identify transcription factor activation domains and uses thereof
AssigneeThe Board of Trustees of the Leland Stanford Junior University
InventorsRoger D. Kornberg, Adrian Sanborn, Benjamin Yeh
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Abstract
Embodiments herein describe systems and methods to identify transcription factor activation domains and uses thereof. Many embodiments obtain activation measurements of tiles or segments of known transcription factors in an organism. Further embodiments train a machine learning model, such as a convolutional neural network, to identify transcription factors and activation domains in other organisms of the same or different species. Such methods and systems can be used for industrial, medical, and research purposes.
Claims20
A method, comprising:
- obtaining a convolutional neural network (CNN), wherein the CNN is trained with functional activation domain data from a first organism;
- and
- identifying an activation domain in a second organism using the CNN.
Dependencies are inferred from the claim text.