Morphological profiling data resource enables prediction of chemical compound properties

Morphological profiling data resource enables prediction of chemical compound properties

Summary: Morphological profiling with the Cell Painting assay has emerged as a promising method in drug discovery research. The assay captures morphological changes across various cellular compartments enabling the rapid prediction of compound bioactivity. We present a comprehensive morphological pr...

Full description

Saved in:
Bibliographic Details
Main Authors: Christopher Wolff, Martin Neuenschwander, Carsten Jörn Beese, Divya Sitani, Maria C. Ramos, Alzbeta Srovnalova, María José Varela, Pavel Polishchuk, Katholiki E. Skopelitou, Ctibor Škuta, Bahne Stechmann, José Brea, Mads Hartvig Clausen, Petr Dzubak, Rosario Fernández-Godino, Olga Genilloud, Marian Hajduch, María Isabel Loza, Martin Lehmann, Jens Peter von Kries, Han Sun, Christopher Schmied
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:iScience
Subjects:
Chemistry
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004225007060
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2589004225007060

Similar Items