Discovery of new senolytics using machine learning
V. Smer-Barreto, A. Quintanilla, R. J. Elliot…·D. A. Oyarzun
This paper uses machine learning to discover three new senolytic compounds by screening FDA-approved drugs and clinical candidates.
Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
4 papers
Recent·Most cited
V. Smer-Barreto, A. Quintanilla, R. J. Elliot…·D. A. Oyarzun
This paper uses machine learning to discover three new senolytic compounds by screening FDA-approved drugs and clinical candidates.
F. R. Millar, A. Pennycuick, M. Muir…·J. C. Acosta
This study identifies TLR2 as a tumor suppressor in early-stage lung cancer, showing its role in immune surveillance and tumor growth reduction through synthetic agonist administration.
I. Fernandez Duran, N. Tarrats, J. Birch…·J. C. Acosta
This study shows that caspase-4 non-canonical inflammasome activation by LPS induces cellular senescence and contributes to oncogene-induced senescence and tumour suppression.
A. Pantazi, A. Quintanilla, P. Hari…·A. Finch
This study shows that inhibiting LSG1, a GTPase involved in 60S ribosome biogenesis, induces cellular senescence through ER disruption and cholesterol biosynthesis upregulation, with potential therapeutic implications.