Leveraging Cell Painting Images to Expand the Applicability Domain and Actively Improve Deep Learning Quantitative Structure–Activity Relationship Models-Reference-Cited by-同舟云学术

Leveraging Cell Painting Images to Expand the Applicability Domain and Actively Improve Deep Learning Quantitative Structure–Activity Relationship Models

Published:2023-06-16 Issue:7 Volume:36 Page:1028-1036
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Herman Dorota¹^ORCID,Kańduła Maciej M.²,Freitas Lorena G. A.¹,van Dongen Caressa³,Le Van Thanh²,Mesens Natalie⁴,Jaensch Steffen²,Gustin Emmanuel²,Micholt Liesbeth²,Lardeau Charles-Hugues²,Varsakelis Christos¹,Reumers Joke²,Zoffmann Sannah²,Will Yvonne⁴,Peeters Pieter J.²,Ceulemans Hugo¹

Affiliation:

1. In-Silico Discovery, Janssen Research & Development, Pharmaceutical Companies of Johnson & Johnson, Beerse B-2340, Belgium

2. Discovery Technology and Molecular Pharmacology, Janssen Research & Development, Pharmaceutical Companies of Johnson & Johnson, Beerse B-2340, Belgium

3. Charles River Laboratories, Turnhoutseweg 30, B-2340 Beerse, Belgium

4. Predictive, Investigative and Translational Toxicology, PSTS, Janssen Research & Development, Pharmaceutical Companies of Johnson & Johnson, Beerse B-2340, Belgium

Funder

Janssen Pharmaceuticals

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrestox.2c00404

Reference48 articles.

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