Design of a Novel and Selective IRAK4 Inhibitor Using Topological Water Network Analysis and Molecular Modeling Approaches
作者:Myeong Lee、Anand Balupuri、Ye-rim Jung、Sungwook Choi、Areum Lee、Young Cho、Nam Kang
DOI:10.3390/molecules23123136
日期:——
Protein kinases are deeply involved in immune-related diseases and various cancers. They are a potential target for structure-based drug discovery, since the general structure and characteristics of kinase domains are relatively well-known. However, the ATP binding sites in protein kinases, which serve as target sites, are highly conserved, and thus it is difficult to develop selective kinase inhibitors
蛋白激酶与免疫相关疾病和各种癌症密切相关。它们是基于结构的药物发现的潜在目标,因为激酶结构域的一般结构和特征相对众所周知。然而,作为靶点的蛋白激酶中的 ATP 结合位点高度保守,因此难以开发选择性激酶抑制剂。为了解决这个问题,我们对水溶液中的 26 种激酶进行了分子动力学模拟,并分析了它们 ATP 结合位点的拓扑水网络 (TWN)。将已知的激酶抑制剂重新定位在激酶的 ATP 结合位点中,该位点表现出类似于白细胞介素 1 受体相关激酶 4 (IRAK4) 的 TWN,使我们能够识别出一个命中分子。另一种命中分子是使用基于药效团的虚拟筛选和分子对接方法从商业化学库中获得的。将命中分子的药理学特征进行杂交以设计一种新型化合物,该化合物在体外试验中以低纳摩尔水平抑制 IRAK4。