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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

A potential drawback, however, is that this type of pathway construction cannot fully reflect hostmicrobiota co-metabolism

Its important to have treatments administered by a qualified professional to minimize risks and ensure a safe, effective experience

10.1158/1078-0432.ccr-06-0170 69 KimY.-J.KimJ