Discovery of senolytics using machine learning
Abstract Cellular senescence is a stress response involved in ageing and diverse disease processes including cancer, type-2 diabetes, osteoarthritis and viral infection. Despite growing interest in targeted elimination of senescent cells, only few senolytics are known due to the lack of well-charact...
Main Authors: | Vanessa Smer-Barreto, Andrea Quintanilla, Richard J. R. Elliott, John C. Dawson, Jiugeng Sun, Víctor M. Campa, Álvaro Lorente-Macías, Asier Unciti-Broceta, Neil O. Carragher, Juan Carlos Acosta, Diego A. Oyarzún |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-06-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-023-39120-1 |
Similar Items
-
Senolytics in the treatment of diabetic retinopathy
by: Jannah Waled Hassan, et al.
Published: (2022-08-01) -
N-Alkynyl Derivatives of 5-Fluorouracil: Susceptibility to Palladium-Mediated Dealkylation and Toxigenicity in Cancer Cell Culture
by: Jason T Weiss, et al.
Published: (2014-07-01) -
Moving senolytics closer to the clinic in IPF
by: Daniel Kramer, et al.
Published: (2023-04-01) -
Senolytics and senostatics as adjuvant tumour therapy
by: Susan Short, et al.
Published: (2019-03-01) -
Senolytics as drugs or fashionable dietary supplements
by: Małgorzata Starek, et al.
Published: (2021-05-01)