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A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

作者： Blessed P. Mbogo1, Samantha R. Fernsebner1,2, Monsurat M. Lawal1, Daniel J. Lundberg1, Tugba G. Kucukkal1 1Drug Discovery Lab, School of Science, Technology, Accessibility, Mathematics, and Public Health (STAMP),Gallaudet University, 2University of Connecticut
简介：

This bilingual protocol provides a computational drug discovery workflow assessing protein-ligand interactions of Polo-Like Kinases 1 to 3 (PLK1–3) and Absorption, Distribution, Metabolism, Excretion, Toxicity, and Stability (ADMET-S) properties of database-sourced natural molecules.

标签: Chemistry,    PLK1-PBD inhibitors,    Computational drug discovery,    Natural products,    ADMET profiling,    DFT calculation,    Molecular docking,    Selectivity screening,    Bilingual STEM education,    American Sign Language (ASL),   
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