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Journal article Open access Published 2025

Morphological profiling data resource enables prediction of chemical compound properties

Authors

Ch. Wolff, M. Neuenschwander, C.J. Beese, D. Sitani, M.C. Ramos, Alžběta Srovnalová, M.J. Varela, Pavlo Polishchuk, V. Skopelidou, C. Skuta, B. Stechmann, J. Brea, M.H. Clausen, Petr Džubák, R. Fernandez-Godino,
Show all 22 authors O. Genilloud, Marián Hajdúch, M.I. Loza, M. Lehmann, J.P. von Kries, H. Sun, Ch. Schmied

iScience 28(5), 112445 (2025)

Cite this publication

WOLFF, C., M. NEUENSCHWANDER, C. BEESE, D. SITANI, M. RAMOS, A. SROVNALOVÁ, M. VARELA, P. POLISHCHUK, V. SKOPELIDOU, C. SKUTA, B. STECHMANN, J. BREA, M. CLAUSEN, P. DŽUBÁK, R. FERNANDEZ-GODINO, O. GENILLOUD, M. HAJDÚCH, M. LOZA, M. LEHMANN, J. VON KRIES, H. SUN, C. SCHMIED: Morphological profiling data resource enables prediction of chemical compound properties. iScience. 2025, 28(5), 112445, ISSN: 2589-0042, PMID: 40384930,  PDF.