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本文引用的文献

1
Discovery and Characterization of Novel Receptor-Interacting Protein Kinase 1 Inhibitors Using Deep Learning and Virtual Screening.利用深度学习和虚拟筛选发现并表征新型受体相互作用蛋白激酶1抑制剂
ACS Chem Neurosci. 2025 Apr 16;16(8):1617-1630. doi: 10.1021/acschemneuro.5c00180. Epub 2025 Apr 3.
2
Discovery of 5-(1-benzyl-1H-imidazol-4-yl)-1,2,4-oxadiazole derivatives as novel RIPK1 inhibitors via structure-based virtual screening.通过基于结构的虚拟筛选发现5-(1-苄基-1H-咪唑-4-基)-1,2,4-恶二唑衍生物作为新型RIPK1抑制剂
Drug Dev Res. 2024 Aug;85(5):e22235. doi: 10.1002/ddr.22235.
3
A phase I randomized study to evaluate safety, pharmacokinetics, and pharmacodynamics of SIR2446M, a selective RIPK1 inhibitor, in healthy participants.一项评估 SIR2446M(一种选择性 RIPK1 抑制剂)在健康参与者中的安全性、药代动力学和药效学的 I 期随机研究。
Clin Transl Sci. 2024 Jul;17(7):e13857. doi: 10.1111/cts.13857.
4
Safety, pharmacokinetics, and target engagement of a brain penetrant RIPK1 inhibitor, SAR443820 (DNL788), in healthy adult participants.在健康成年参与者中,一种穿透血脑屏障的 RIPK1 抑制剂 SAR443820(DNL788)的安全性、药代动力学和靶点结合情况。
Clin Transl Sci. 2024 Jan;17(1):e13690. doi: 10.1111/cts.13690. Epub 2023 Dec 11.
5
Microglia in neurodegenerative diseases: mechanism and potential therapeutic targets.神经退行性疾病中的小胶质细胞:机制与潜在治疗靶点。
Signal Transduct Target Ther. 2023 Sep 22;8(1):359. doi: 10.1038/s41392-023-01588-0.
6
A phase I randomized, double-blinded, placebo-controlled study assessing the safety and pharmacokinetics of RIPK1 inhibitor GFH312 in healthy subjects.一项评估 RIPK1 抑制剂 GFH312 在健康受试者中的安全性和药代动力学的 I 期随机、双盲、安慰剂对照研究。
Clin Transl Sci. 2023 Sep;16(9):1691-1703. doi: 10.1111/cts.13580. Epub 2023 Jul 4.
7
From (Tool)Bench to Bedside: The Potential of Necroptosis Inhibitors.从(工具)实验室到病床:坏死性凋亡抑制剂的潜力。
J Med Chem. 2023 Feb 23;66(4):2361-2385. doi: 10.1021/acs.jmedchem.2c01621. Epub 2023 Feb 13.
8
Generative deep learning enables the discovery of a potent and selective RIPK1 inhibitor.生成式深度学习可发现强效且选择性的 RIPK1 抑制剂。
Nat Commun. 2022 Nov 12;13(1):6891. doi: 10.1038/s41467-022-34692-w.
9
Small-Molecule Receptor-Interacting Protein 1 (RIP1) Inhibitors as Therapeutic Agents for Multifaceted Diseases: Current Medicinal Chemistry Insights and Emerging Opportunities.小分子受体相互作用蛋白1(RIP1)抑制剂作为多方面疾病的治疗药物:当前药物化学见解与新机遇
J Med Chem. 2022 Nov 24;65(22):14971-14999. doi: 10.1021/acs.jmedchem.2c01518. Epub 2022 Nov 8.
10
Discovery of novel 2,8-diazaspiro[4.5]decan-1-one derivatives as potent RIPK1 kinase inhibitors.发现新型 2,8-二氮杂螺[4.5]癸烷-1-酮衍生物作为有效的 RIPK1 激酶抑制剂。
Bioorg Med Chem. 2022 Apr 1;59:116686. doi: 10.1016/j.bmc.2022.116686. Epub 2022 Feb 23.

RIPK1的变构靶向:新型抑制剂的发现、平行虚拟筛选及结构导向优化

Allosteric targeting of RIPK1: discovery of novel inhibitors parallel virtual screening and structure-guided optimization.

作者信息

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

机构信息

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.

出版信息

RSC Med Chem. 2025 Sep 17. doi: 10.1039/d5md00317b.

DOI:10.1039/d5md00317b
PMID:40969564
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12442725/
Abstract

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.

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,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。