Hallmarks of aging-based dual-purpose disease and age-associated targets predicted using PandaOmics AI-powered discovery engine

Frank W. Pun; Geoffrey Ho Duen Leung; Hoi Wing Leung; Bonnie Hei Man Liu; Xi Long; Ivan V. Ozerov; Ju Wang; Feng Ren; Alexander Aliper; Evgeny Izumchenko; Alexey Moskalev; Jo&#xE3;o Pedro de Magalh&#xE3;es; Alex Zhavoronkov

doi:doi:10.18632/aging.203960

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Research Paper Volume 14, Issue 6 pp 2475—2506

Hallmarks of aging-based dual-purpose disease and age-associated targets predicted using PandaOmics AI-powered discovery engine

Figure 5. AI-derived targets crosstalk to aging-associated signaling pathways. Pathway enrichment analysis was performed on our 145 AI-derived targets based on KEGG PATHWAY Database. (A) MAPK signaling pathway (hsa04010), (B) PI3K-AKT signaling pathway (hsa04151) and (C) FOXO signaling pathway (hsa04068) were among the top 10 enriched pathways that were known to be associated with aging. Forty-six AI-derived targets were involved. Target-target interactions were identified in the contexts of pathways and networks retrieved from KEGG PATHWAY Database and literature (Supplementary Table 8). Abbreviation: PAMPs: Pathogen-associated molecular patterns.