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
{"title":"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。","authors":"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","doi":"10.1039/d5md00317b","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":21462,"journal":{"name":"RSC medicinal chemistry","volume":" ","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12442725/pdf/","citationCount":"0","resultStr":"{\"title\":\"Allosteric targeting of RIPK1: discovery of novel inhibitors <i>via</i> parallel virtual screening and structure-guided optimization.\",\"authors\":\"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\",\"doi\":\"10.1039/d5md00317b\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":21462,\"journal\":{\"name\":\"RSC medicinal chemistry\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12442725/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"RSC medicinal chemistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1039/d5md00317b\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"RSC medicinal chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1039/d5md00317b","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
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.