Vijayan R S K, Hamilton Matthew M, Pfaffinger Dana E, Alvarez Fernando G, Reyna Naphtali J, Bardenhagen Jennifer P, Shepard Hannah, Rodriguez Christian, Goodwani Sunil, Lightfoot Yaima, Maskos Klaus, Johannsson Sven, Kempf Georg, Xu Quanyun Alan, Neumann Lars, Jiang Yongying, Do Mary Geck, Jones Philip, Lewis Richard T, Ray William J, Cross Jason B
Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center 1881 East Road Houston Texas 77054 USA
Belfer Neurodegeneration Consortium, The University of Texas MD Anderson Cancer Center 1881 East Road Houston Texas 77054 USA.
RSC Med Chem. 2025 Sep 17. doi: 10.1039/d5md00317b.
Receptor-interacting serine/threonine protein-kinase 1 (RIPK1) is a critical signalling protein that regulates inflammation and cell death in response to TNF signalling. Inhibiting RIPK1 kinase activity prevents neuronal cell death in various animal models, making it a promising therapeutic target for neurodegenerative, inflammatory, and autoimmune disorders. To identify novel allosteric RIPK1 inhibitors, we used a parallel virtual screening strategy that employed structure-based pharmacophore, shape-based, and fuzzy pharmacophore similarity approaches. Structure-guided optimization enabled by X-ray crystallography led to the discovery of a potent and selective piperidinecarboxamide inhibitor with an acceptable pharmacokinetic (PK) profile and limited brain exposure. This work highlights the effectiveness of virtual screening, followed by structure-guided optimization, in identifying progressible allosteric kinase inhibitors.
受体相互作用丝氨酸/苏氨酸蛋白激酶1(RIPK1)是一种关键的信号蛋白,可响应TNF信号调节炎症和细胞死亡。在各种动物模型中,抑制RIPK1激酶活性可防止神经元细胞死亡,使其成为神经退行性、炎症性和自身免疫性疾病的一个有前景的治疗靶点。为了鉴定新型变构RIPK1抑制剂,我们采用了一种平行虚拟筛选策略,该策略采用基于结构的药效团、基于形状和模糊药效团相似性方法。由X射线晶体学实现的结构导向优化导致发现了一种强效且选择性的哌啶甲酰胺抑制剂,其具有可接受的药代动力学(PK)特征且脑暴露有限。这项工作突出了虚拟筛选随后进行结构导向优化在鉴定可推进的变构激酶抑制剂方面的有效性。