RIPK1的变构靶向:通过平行虚拟筛选和结构引导优化发现新的抑制剂。

IF 3.6 4区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
R S K Vijayan, Matthew M Hamilton, Dana E Pfaffinger, Fernando G Alvarez, Naphtali J Reyna, Jennifer P Bardenhagen, Hannah Shepard, Christian Rodriguez, Sunil Goodwani, Yaima Lightfoot, Klaus Maskos, Sven Johannsson, Georg Kempf, Quanyun Alan Xu, Lars Neumann, Yongying Jiang, Mary Geck Do, Philip Jones, Richard T Lewis, William J Ray, Jason B Cross
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引用次数: 0

摘要

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,在TNF信号反应中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、炎症和自身免疫性疾病的有希望的治疗靶点。为了鉴定新的变构RIPK1抑制剂,我们使用了一种平行虚拟筛选策略,该策略采用了基于结构的药效团、基于形状的药效团和模糊药效团相似性方法。通过x射线晶体学进行结构引导优化,发现了一种有效的选择性哌啶甲酰胺抑制剂,具有可接受的药代动力学(PK)谱和有限的脑暴露。这项工作强调了虚拟筛选的有效性,其次是结构引导优化,在确定可进展的变构激酶抑制剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Allosteric targeting of RIPK1: discovery of novel inhibitors via parallel virtual screening and structure-guided optimization.

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.

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来源期刊
CiteScore
5.80
自引率
2.40%
发文量
129
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