Cell morphology-guided <i>de novo</i> hit design by conditioning GANs on phenotypic image features-Reference-Cited by-同舟云学术

Cell morphology-guided de novo hit design by conditioning GANs on phenotypic image features

Published:2023 Issue:1 Volume:2 Page:91-102
ISSN:2635-098X
Container-title:Digital Discovery
language:en
Short-container-title:Digital Discovery

Author:

Marin Zapata Paula A.¹^ORCID,Méndez-Lucio Oscar²³^ORCID,Le Tuan¹^ORCID,Beese Carsten Jörn⁴^ORCID,Wichard Jörg⁵,Rouquié David²,Clevert Djork-Arné¹^ORCID

Affiliation:

1. Bayer AG, Machine Learning Research, Pharmaceuticals, Berlin, Germany

2. Bayer SAS, Early Toxicology, Crop Science, Sophia Antipolis, France

3. Bloomoom, 13 Avenue Albert Einstein 69100, Villeurbane, France

4. Leibniz-Forschungsinstitut für Molekulare Pharmakologie, Berlin, Germany

5. Bayer AG, Genetic Toxicology, Pharmaceuticals, Berlin, Germany

Abstract

Cellular morphology can be used to guide the de novo design of small molecules inducing a desired phenotype.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2023/DD/D2DD00081D

Reference75 articles.

1. Diagnosing the decline in pharmaceutical R&D efficiency

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3. A new SNP

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