通过分层虚拟筛选策略和生物活性评估发现有效的MD2抑制剂

IF 4.7 2区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Lili Yang , Jialu Liu , Lei Di , Siming Tang, Ping Hu, Fang Wang, Zeng Li
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引用次数: 0

摘要

髓系分化 2(MD2)是 Toll 样受体 4(TLR4)的附属蛋白,在炎症中起着至关重要的作用,是开发抗炎药物的一个很有前景的靶点。本研究采用了基于配体和受体药效模型及对接的分层虚拟筛选策略来鉴定潜在的 MD2 抑制剂。从最初的 257 706 个化合物库中筛选出 15 个候选化合物,其中命中 12 的抗炎活性最强。Hit12抑制了脂多糖(LPS)诱导的TLR4/MD2复合物的形成,并阻断了NF-κB和MAPK信号通路。分子对接研究揭示了 hit12 与 MD2 之间的氢键,尤其是与 Arg90 之间的氢键。细胞热转移分析(CETSA)显示,hit12增强了MD2的热稳定性,分子动力学(MD)模拟和自由能计算提出了hit12的结合模式。体内实验表明,hit12能显著减轻佐剂诱导的关节炎(AIA)模型大鼠的足部肿胀。这些结果凸显了 MD2 作为抗炎疗法开发靶点的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Discovery of potent MD2 inhibitors by hierarchical virtual screening strategy and bioactivity evaluation

Discovery of potent MD2 inhibitors by hierarchical virtual screening strategy and bioactivity evaluation
Myeloid differentiation 2 (MD2), an accessory protein of Toll-like receptor 4 (TLR4), plays a crucial role in inflammation and represents a promising target for the development of anti-inflammatory drugs. This study used a hierarchical virtual screening strategy based on ligand and receptor pharmacophore models and docking to identify potential MD2 inhibitors. From an initial library of 257,706 compounds, 15 candidates were selected, with hit12 demonstrating the most potent anti-inflammatory activity. Hit12 inhibited the lipopolysaccharide (LPS)-induced formation of the TLR4/MD2 complex and blocked the NF-κB and MAPK signaling pathways. Molecular docking studies revealed hydrogen bonds between hit12 and MD2, particularly with Arg90. Cellular thermal shift analysis (CETSA) showed that hit12 enhanced the thermal stability of MD2, and molecular dynamics (MD) simulations and free energy calculations proposed the binding mode of hit12. In vivo experiments showed that hit12 significantly reduced foot swelling in the adjuvant-induced arthritis (AIA) model rats. These results highlight the potential of MD2 as a target for the development of anti-inflammatory therapies.
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来源期刊
CiteScore
7.70
自引率
3.90%
发文量
410
审稿时长
36 days
期刊介绍: Chemico-Biological Interactions publishes research reports and review articles that examine the molecular, cellular, and/or biochemical basis of toxicologically relevant outcomes. Special emphasis is placed on toxicological mechanisms associated with interactions between chemicals and biological systems. Outcomes may include all traditional endpoints caused by synthetic or naturally occurring chemicals, both in vivo and in vitro. Endpoints of interest include, but are not limited to carcinogenesis, mutagenesis, respiratory toxicology, neurotoxicology, reproductive and developmental toxicology, and immunotoxicology.
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