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pro vyhledávání: '"Jeremy B.R. Hayter"'
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
