Image-based profiling for drug discovery: due for a machine-learning upgrade?
Author:
Publisher
Springer Science and Business Media LLC
Subject
Drug Discovery,Pharmacology,General Medicine
Link
http://www.nature.com/articles/s41573-020-00117-w.pdf
Reference183 articles.
1. Haasen, D. et al. How phenotypic screening influenced drug discovery: lessons from five years of practice. Assay Drug Dev. Technol. 15, 239–246 (2017). This primer describes the hype and eventual more nuanced positioning of phenotypic screening, providing a pharmaceutical industry perspective as machine learning is ready to spark a new wave of opportunities in this space.
2. Singh, S., Carpenter, A. E. & Genovesio, A. Increasing the content of high-content screening: an overview. J. Biomol. Screen. 19, 640–650 (2014).
3. Dorval, T., Chanrion, B., Cattin, M.-E. & Stephan, J. P. Filling the drug discovery gap: is high-content screening the missing link? Curr. Opin. Pharmacol. 42, 40–45 (2018).
4. Boutros, M., Heigwer, F. & Laufer, C. Microscopy-based high-content screening. Cell 163, 1314–1325 (2015).
5. Caicedo, J. C., Singh, S. & Carpenter, A. E. Applications in image-based profiling of perturbations. Curr. Opin. Biotechnol. 39, 134–142 (2016).
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