Human-Based Immune Responsive In Vitro Infection Models for Validation of Novel TLR4 Antagonists Identified by Computational Discovery

基于人类免疫反应的体外感染模型用于验证通过计算发现确定的新型 TLR4 拮抗剂

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作者:Helena Merk, Tehila Amran-Gealia, Doris Finkelmeier, Christina Kohl, Isabelle Pichota, Noa Stern, Steffen Rupp, Amiram Goldblum, Anke Burger-Kentischer

Methods

pharmacophore modeling and molecular docking, we identified a set of 46 potential modulators of TLR4, which were screened in several tests systems of increasing complexity, including immune responsive 3D-skin infection models. We could show a strong suppression of cytokine and chemokine response induced by lipopolysacharide (LPS) and Candida albicans for individual compounds. The development of human-based immune responsive assays provides a more accurate and reliable basis for development of new anti-inflammatory or immune-modulating drugs.

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