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By combining machine learning (such as Bayesian inference modeling) and computational tools (such as PharmMapper and DRAR-CPI), we can efficiently process large-scale compound-target data, predict potential targets, and screen key proteins (such as mitogen-activated protein kinase 14 (MAPK14)), and identify candidate molecules with therapeutic potential

The number of surviving bacteria after 24 h of treatment with free Ciprofloxacin monohydrochloride or Ciprofloxacin monohydrochloride-loaded liposomes at 658 a 3 g/mL of Ciprofloxacin monohydrochloride concentration

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Our serum combines 2% GHK-Cu, 5% Argireline, and 3% Leuphasyl