Faculty of Pharmacy, University of Ljubljana, Aškerčeva cesta 7, 1000 Ljubljana, Slovenia.
Biomolecules. 2022 Jul 29;12(8):1054. doi: 10.3390/biom12081054.
Nucleotide-binding oligomerization domain-containing protein 2 (NOD2) is an innate immune pattern recognition receptor responsible for the recognition of bacterial peptidoglycan fragments. Given its central role in the formation of innate and adaptive immune responses, NOD2 represents a valuable target for modulation with agonists and antagonists. A major challenge in the discovery of novel small-molecule NOD2 modulators is the lack of a co-crystallized complex with a ligand, which has limited previous progress to ligand-based design approaches and high-throughput screening campaigns. To that end, a hybrid docking and pharmacophore modeling approach was used to identify key interactions between NOD2 ligands and residues in the putative ligand-binding site. Following docking of previously reported NOD2 ligands to a homology model of human NOD2, a structure-based pharmacophore model was created and used to virtually screen a library of commercially available compounds. Two compounds, and , identified as hits by the pharmacophore model, exhibited NOD2 antagonist activity and are the first small-molecule NOD2 modulators identified by virtual screening to date. The newly identified NOD2 antagonist scaffolds represent valuable starting points for further optimization.
核苷酸结合寡聚化结构域蛋白 2(NOD2)是一种先天免疫模式识别受体,负责识别细菌肽聚糖片段。鉴于其在先天和适应性免疫反应形成中的核心作用,NOD2 是激动剂和拮抗剂调节的有价值的靶点。在发现新型小分子 NOD2 调节剂方面的一个主要挑战是缺乏与配体的共结晶复合物,这限制了以前的进展,只能采用基于配体的设计方法和高通量筛选活动。为此,采用混合对接和药效团建模方法来确定 NOD2 配体与假定配体结合位点中残基之间的关键相互作用。对接先前报道的 NOD2 配体到人源 NOD2 的同源模型后,创建了基于结构的药效团模型,并用于虚拟筛选商业上可获得的化合物库。通过药效团模型鉴定为命中的两种化合物 和 ,表现出 NOD2 拮抗剂活性,是迄今为止通过虚拟筛选鉴定的第一批小分子 NOD2 调节剂。新鉴定的 NOD2 拮抗剂支架代表了进一步优化的有价值起点。