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Moo-Yeal Lee

Researcher at Cleveland State University

Publications -  83
Citations -  2414

Moo-Yeal Lee is an academic researcher from Cleveland State University. The author has contributed to research in topics: 3D cell culture & Adsorption. The author has an hindex of 25, co-authored 83 publications receiving 2247 citations. Previous affiliations of Moo-Yeal Lee include Rensselaer Polytechnic Institute & Tokyo Institute of Technology.

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Three-dimensional cellular microarray for high-throughput toxicology assays.

TL;DR: The miniaturized 3D cell-culture array developed may enable toxicity analyses of drug candidates and their metabolites at throughputs compatible with the availability of compounds at early-stage drug discovery.
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Enzyme activation for nonaqueous media.

TL;DR: An improved mechanistic understanding of enzyme function and activation in dehydrated environments has led to the development of a broad array of techniques for generating active, stable, and enantioselective and regioselectives tailored enzymes for synthetically relevant transformations.
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Metabolizing enzyme toxicology assay chip (MetaChip) for high-throughput microscale toxicity analyses

TL;DR: A metabolizing enzyme toxicology assay chip (MetaChip) that combines high-throughput P450 catalysis with cell-based screening on a microscale platform that creates opportunities for rapid and inexpensive assessment of ADME/Tox at very early phases of drug development, thereby enabling unsuitable candidates to be eliminated from consideration much earlier in the drug discovery process.
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Removal of heavy metals from aqueous solution by apple residues

TL;DR: In this paper, the removal of copper, lead and cadmium by apple residues (AR) was investigated to evaluate cation exchange capacities, and the effects of solution pH, ionic strength, ligands and co-ions were studied in batch experiments.
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Three-dimensional cell culture microarray for high-throughput studies of stem cell fate.

TL;DR: A novel three‐dimensional cellular microarray platform to enable the rapid and efficient tracking of stem cell fate and quantification of specific stem cell markers is developed and is suitable for studying the expansion of mouse embryonic stem (ES) cells as they retain their pluripotent and undifferentiated state.