Dataset Information

Quantifying drug tissue biodistribution by integrating high content screening with deep-learning analysis.

ABSTRACT: Quantitatively determining in vivo achievable drug concentrations in targeted organs of animal models and subsequent target engagement confirmation is a challenge to drug discovery and translation due to lack of bioassay technologies that can discriminate drug binding with different mechanisms. We have developed a multiplexed and high-throughput method to quantify drug distribution in tissues by integrating high content screening (HCS) with U-Net based deep learning (DL) image analysis models. This technology combination allowed direct visualization and quantification of biologics drug binding in targeted tissues with cellular resolution, thus enabling biologists to objectively determine drug binding kinetics.

SUBMITTER: Li Z

PROVIDER: S-EPMC7463244 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Quantifying drug tissue biodistribution by integrating high content screening with deep-learning analysis.

Li Zhuyin Z Xiao Youping Y Peng Jia J Locke Darren D Holmes Derek D Li Lei L Hamilton Shannon S Cook Erica E Myer Larnie L Vanderwall Dana D Cloutier Normand N Siddiqui Akbar M AM Whitehead Paul P Bishop Richard R Zhao Lei L Cvijic Mary Ellen ME

Scientific reports 20200901 1

Quantitatively determining in vivo achievable drug concentrations in targeted organs of animal models and subsequent target engagement confirmation is a challenge to drug discovery and translation due to lack of bioassay technologies that can discriminate drug binding with different mechanisms. We have developed a multiplexed and high-throughput method to quantify drug distribution in tissues by integrating high content screening (HCS) with U-Net based deep learning (DL) image analysis models. T ...[more]

PMID: 32873881

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Dataset Information

Quantifying drug tissue biodistribution by integrating high content screening with deep-learning analysis.

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Quantifying drug tissue biodistribution by integrating high content screening with deep-learning analysis.

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