Dawson, John C.

Discovery of senolytics using machine learning

Smer-Barreto, V., Quintanilla, A., Elliott, R. J. R., Dawson, J. C., Sun, J., Campa, V. M., Lorente-Macías, Á., Unciti-Broceta, A., Carragher, N. O., Acosta, J. C., et al. (2023) · Nature Communications

Computational Drug Discovery MethodsTelomeres, Telomerase, and Senescence

Cited by 139

Ovarian cancer cell lines derived from non-serous carcinomas migrate and invade more aggressively than those derived from high-grade serous carcinomas

Hallas-Potts, A., Dawson, J. C., & Herrington, C. S. (2019) · Scientific Reports

Ovarian cancer diagnosis and treatmentCancer Cells and Metastasis

Cited by 110

High-content phenotypic and pathway profiling to advance drug discovery in diseases of unmet need

Hughes, R. E., Elliott, R. J. R., Dawson, J. C., & Carragher, N. O. (2021) · Cell Chemical Biology

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 62

Mtss1 regulates epidermal growth factor signaling in head and neck squamous carcinoma cells

Dawson, J. C., Timpson, P., Kalna, G., & Machesky, L. M. (2012) · Oncogene

HER2/EGFR in Cancer ResearchHead and Neck Cancer Studies

Cited by 42