Cellular Imaging in Drug Discovery: Imaging and Informatics for Complex Cell Biology

Li, Zihan; Cvijic, Mary-Ellen; Zhang, L.

doi:10.1016/b978-0-12-409547-2.12328-5

Cited by 8 publications

(6 citation statements)

References 96 publications

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“…Recent developments in analytical chemistry include dereplication and high content screening (HCS). Dereplication refers to a process for the fast identification of known secondary metabolites in natural products, in which MS-based methods are key to the success of that process [ 42 , 43 , 44 ], and HCS methods are those that combine automated microscopy with living cell-based assays [ 45 , 46 , 47 , 48 ], which allows, e.g., the screening of plant extract libraries and subsequent selection of the best hits based on the phenotypic screening results. However, the isolation of chemical compounds from crude natural extracts remains a major challenge in the field [ 42 ].…”

Section: Omics-based Strategies For Targeted Isolation Of Natural Pro...mentioning

confidence: 99%

Plant Extracts as a Source of Natural Products with Potential Antimalarial Effects: An Update from 2018 to 2022

et al. 2023

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Malaria kills more than 500,000 people yearly, mainly affecting Africa and Southeast Asia. The disease is caused by the protozoan parasite from the genus Plasmodium, with Plasmodium vivax and Plasmodium falciparum being the main species that cause the disease in humans. Although substantial progress has been observed in malaria research in the last years, the threat of the spread of Plasmodium parasites persists. Artemisinin-resistant strains of this parasite have been reported mainly in Southeast Asia, highlighting the urgent need to develop more effective and safe antimalarial drugs. In this context, natural sources, mainly from flora, remain underexplored antimalarial spaces. The present mini-review explores this space focusing on plant extracts and some of their isolated natural products with at least in vitro antiplasmodial effects reported in the literature comprising the last five years (2018–2022).

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Section: Omics-based Strategies For Targeted Isolation Of Natural Pro...mentioning

confidence: 99%

Plant Extracts as a Source of Natural Products with Potential Antimalarial Effects: An Update from 2018 to 2022

et al. 2023

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“…High-content screening (HCS) produces diverse phenotypic information that is of great interest to the drug discovery process. 1,2 One such procedure known as Cell Painting 3 allows for broad proling of cellular phenotypes in response to different compounds. Much effort has gone into quantitatively characterizing these phenotypes, [4][5][6] with the goal of creating representations for describing how different compounds affect biology.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

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“…HCS efforts generate a wealth of complex phenotypic information that is pivotal to the drug discovery process. Extracting biological insight from these observations, however, often requires performing multiple experiments, which can demand extensive time and resources 1 . We posit that ML can extract actionable information that is otherwise encoded within HCS and learn the phenotypic relationships between related biological processes.…”

Section: Introductionmentioning

confidence: 99%

Trans-channel fluorescence learning improves high-content screening for Alzheimer’s disease therapeutics

et al. 2022

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In microscopy-based drug screens, fluorescent markers carry critical information on how compounds affect different biological processes. However, practical considerations may hinder the use of certain fluorescent markers. Here, we present a deep learning method for overcoming this limitation. We accurately generated predicted fluorescent signals from other related markers and validated this new machine learning (ML) method on two biologically distinct datasets. We used the ML method to improve the selection of biologically active compounds for Alzheimer's disease (AD) from high-content high-throughput screening (HCS). The ML method identified novel compounds that effectively blocked tau aggregation, which would have been missed by traditional screening approaches unguided by ML. The method improved triaging efficiency of compound rankings over conventional rankings by raw image channels. We reproduced this ML pipeline on a biologically independent cancer-based dataset, demonstrating its generalizability.The approach is disease-agnostic and applicable across diverse fluorescence microscopy datasets..

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Cellular Imaging in Drug Discovery: Imaging and Informatics for Complex Cell Biology

Cited by 8 publications

References 96 publications

Plant Extracts as a Source of Natural Products with Potential Antimalarial Effects: An Update from 2018 to 2022

Plant Extracts as a Source of Natural Products with Potential Antimalarial Effects: An Update from 2018 to 2022

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

Trans-channel fluorescence learning improves high-content screening for Alzheimer’s disease therapeutics

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