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Written and prepared by:
Bonnie Hei Man Liu, Andre Rayner, Andrew R. Mendelsohn, Anastasia Shneyderman, Michelle Chen, Frank W. Pun
Explore how AI-driven target discovery identifies common therapeutic targets for asthma, eczema, and food allergies. This study uses the PandaOmics platform to analyze transcriptomics datasets, revealing key targets like IL5, PTAFR, and RNF19B. These findings highlight the potential for developing effective treatments addressing multiple allergies, emphasizing the role of AI in accelerating drug discovery and repurposing.
Utilizing AI to identify common therapeutic targets for asthma, eczema, and food allergy.
AI identifies IL4R, IL5, JAK1, JAK2, JAK3, and NR3C1 as shared targets in allergic diseases.
AI-driven platform identifies IL5, PTAFR, and RNF19B as promising targets for allergy treatment.
Examining commonly dysregulated pathways in asthma, eczema, and food allergy using AI.
IL5 identified as a significant target due to its strong involvement in allergic responses.
PTAFR identified as a promising target for drug repurposing in asthma, eczema, and food allergy.
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