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Random-effect model and meta-regression analysis were accordingly used

Using an integrated ligand and structure-based virtual screening pipeline, explicitly combining complementary ligand-based descriptors, multi-fingerprint similarity, electrostatic similarity, pharmacophore modeling, and multi-conformation docking under a consensus-driven selection strategy, we were able to identify three chemically distinct classes of GLP-1R agonist candidates: GQB47810, a non-peptidic molecule

Rather than employing synthetic GLP-1s like the prescription drugs on the market, Lemme GLP-1 Daily supplement aims to naturally increase the bodys GLP-1 levels over time

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