Deep representation learning determines drug mechanism of action from cell painting images-Reference-Cited by-同舟云学术

Deep representation learning determines drug mechanism of action from cell painting images

Published:2023 Issue:5 Volume:2 Page:1354-1367
ISSN:2635-098X
Container-title:Digital Discovery
language:en
Short-container-title:Digital Discovery

Author:

Wong Daniel R.¹^ORCID,Logan David J.²^ORCID,Hariharan Santosh³,Stanton Robert¹,Clevert Djork-Arné¹^ORCID,Kiruluta Andrew¹

Affiliation:

1. Machine Learning and Computational Sciences, Pfizer Worldwide Research Development and Medical, 610 Main Street, Cambridge, Massachusetts 02139, USA

2. Internal Medicine Research Unit, Pfizer Worldwide Research Development and Medical, 610 Main Street, Cambridge, Massachusetts 02139, USA

3. Discovery Sciences, Pfizer Global Research and Development, Groton Laboratories, 280 Shennecossett Rd, Groton, CT 06340, USA

Abstract

Fluorescent-based microscopy screens carry a broad range of phenotypic information about how compounds affect cellular biology.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2023/DD/D3DD00060E

Reference45 articles.

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3. Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes

4. High content phenotypic screening identifies serotonin receptor modulators with selective activity upon breast cancer cell cycle and cytokine signaling pathways

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