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10.1016/j.bmcl.2017.07.013 Summary Keywords docking, MD simulations, pharmacophore, acetylcholinesterase, machine learning Citation Hayek-Orduz Y, Acevedo-Castro DA, Saldarriaga Escobar JS, Ortiz-Domnguez BE, Villegas-Torres MF, Caicedo PA, Barrera-Ocampo , Cortes N, Osorio EH and Gonzlez Barrios AF (2025) dyphAI dynamic pharmacophore modeling with AI: a tool for efficient screening of new acetylcholinesterase inhibitors

A total of 24 initial positive clones were selected and transferred to SD-TL deficient plate for further culture of 2~3 days

Ascherio, A

Likewise, results obtained in various diet-induced MASLD/MASH rodent models revealed a marked reduction in CAT activity in the serum as well as the liver of these animals as compared to respective controls (Dai et al

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