...
首页> 外文期刊>Medicinal research reviews >Biology and chemistry of the inhibition of nitric oxide synthases by pteridine-derivatives as therapeutic agents.
【24h】

Biology and chemistry of the inhibition of nitric oxide synthases by pteridine-derivatives as therapeutic agents.

机译:蝶啶衍生物作为治疗剂抑制一氧化氮合酶的生物学和化学作用。

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Inhibitors of the family of nitric oxide synthases (NOS-I-III; EC 1.14.13.39) are of interest as pharmacological agents to modulate pathologically high nitric oxide (NO) levels in inflammation, sepsis, and stroke. In this article, we discuss the approach for targeting the unique (6R)-5,6,7,8-tetrahydro-l-biopterin (H(4)Bip) binding site of NOS by appropriate inhibitors. This binding site maximally increases enzyme activity and NO production from the substrate l-arginine upon cofactor binding. The first generation of H(4)Bip-based NOS inhibitors was based on 4-amino H(4)Bip derivatives in analogy to anti-folates such as methotrexate. In addition, we discuss the structure-activity relationship of a related series of 4-oxo-pteridine derivatives. Furthermore, molecular modeling studies provide an understanding of pterin antagonism on a structural level based on favorable and unfavorable interactions between protein binding site and ligands. These techniques include 3D-QSAR (CoMFA, CoMSIA) to understand ligand affinity and GRID/consensus principal component analysis (CPCA) to learn about selectivity requirements. Collectively these approaches, in combination with the presented SAR and structural data, provide useful information for the design of novel NOS inhibitors with increased isoform selectivity.
机译:一氧化氮合酶(NOS-I-III; EC 1.14.13.39)家族的抑制剂作为调节炎症,败血症和中风的病理性一氧化氮(NO)水平的药理学意义很高。在本文中,我们讨论了通过适当的抑制剂靶向NOS的独特(6R)-5,6,7,8-四氢-1-生物蝶呤(H(4)Bip)结合位点的方法。在辅因子结合后,该结合位点最大程度地增加了酶活性和底物1-精氨酸的NO产生。第一代基于H(4)Bip的NOS抑制剂是基于4-氨基H(4)Bip衍生物,类似于抗叶酸药物,例如甲氨蝶呤。此外,我们讨论了一系列相关的4-氧-蝶啶衍生物的结构-活性关系。此外,分子建模研究基于蛋白质结合位点与配体之间的有利和不利相互作用,在结构水平上提供了对蝶呤拮抗作用的理解。这些技术包括3D-QSAR(CoMFA,CoMSIA)以了解配体亲和力,以及GRID /共识主成分分析(CPCA)以了解选择性要求。这些方法与所提出的SAR和结构数据相结合,为设计具有更高同工型选择性的新型NOS抑制剂提供了有用的信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号