Identification of dual-purpose therapeutic targets implicated in aging and glioblastoma multiforme using PandaOmics - an AI-enabled biological target discovery platform

• Published in: Aging (Albany, NY.) Vol. 15; no. 8; pp. 2863 - 2876
• Main Authors: Olsen, Andrea, Harpaz, Zachary, Ren, Christopher, Shneyderman, Anastasia, Veviorskiy, Alexander, Dralkina, Maria, Konnov, Simon, Shcheglova, Olga, Pun, Frank W, Leung, Geoffrey Ho Duen, Leung, Hoi Wing, Ozerov, Ivan V, Aliper, Alex, Korzinkin, Mikhail, Zhavoronkov, Alex
• Format: Journal Article
• Language: English
• Published: United States Impact Journals 26.04.2023
• Subjects: Aging - genetics; Artificial Intelligence; Brain Neoplasms - drug therapy; Brain Neoplasms - genetics; Brain Neoplasms - metabolism; Glioblastoma - drug therapy; Glioblastoma - genetics; Glioblastoma - metabolism; Humans; Research Paper; target discovery; GBM; glioblastoma; aging; PandaOmics

Glioblastoma Multiforme (GBM) is the most aggressive and most common primary malignant brain tumor. The age of GBM patients is considered as one of the disease's negative prognostic factors and the mean age of diagnosis is 62 years. A promising approach to preventing both GBM and aging is to id...