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pro vyhledávání: '"Eileen L. Tang"'
Autor:
Paul Bertin, Jarrid Rector-Brooks, Deepak Sharma, Thomas Gaudelet, Andrew Anighoro, Torsten Gross, Francisco Martínez-Peña, Eileen L. Tang, M.S. Suraj, Cristian Regep, Jeremy B.R. Hayter, Maksym Korablyov, Nicholas Valiante, Almer van der Sloot, Mike Tyers, Charles E.S. Roberts, Michael M. Bronstein, Luke L. Lairson, Jake P. Taylor-King, Yoshua Bengio
Publikováno v:
Cell Reports: Methods, Vol 3, Iss 10, Pp 100599- (2023)
Summary: For large libraries of small molecules, exhaustive combinatorial chemical screens become infeasible to perform when considering a range of disease models, assay conditions, and dose ranges. Deep learning models have achieved state-of-the-art
Externí odkaz:
https://doaj.org/article/a96f2555a6f74a7f8b1b3ca4bf56d467
Autor:
Francisco Martínez-Peña, Aaron D. Pearson, Eileen L. Tang, Nick A. Kuburich, Sendurai A. Mani, Peter G. Schultz, Michael J. Bollong, Luke L. Lairson
Publikováno v:
European Journal of Medicinal Chemistry. 242:114638
Epithelial-mesenchymal transition (EMT) endows stem cell-like properties to cancer cells. Targeting this process represents a potential therapeutic approach to overcome cancer metastasis and chemotherapy resistance. FiVe1 was identified from an EMT-b