6-(4-Chloro-phenyl)-4-piperidin-1-yl-5,6,7,8-tetrahydro-pteridin-2-ylamine | 777047-75-3

• 分子结构分类: 有机化合物 - 有机杂环化合物 - 蝶啶及其衍生物
• 英文名称: 6-(4-Chloro-phenyl)-4-piperidin-1-yl-5,6,7,8-tetrahydro-pteridin-2-ylamine
• 英文别名: 6-(4-chlorophenyl)-4-piperidin-1-yl-5,6,7,8-tetrahydropteridin-2-amine
• CAS: 777047-75-3
• 化学式: C₁₇H₂₁ClN₆
• 分子量: 344.847
• InChiKey: VLFZJRDUEIBKCU-UHFFFAOYSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  3.4
• 重原子数：
  24
• 可旋转键数：
  2
• 环数：
  4.0
• sp3杂化的碳原子比例：
  0.41
• 拓扑面积：
  79.1
• 氢给体数：
  3
• 氢受体数：
  6

反应信息

• 作为产物：
  描述：

  2-amino-6-(4-chlorophenyl)-4-piperidinopteridine 在 platinum(IV) oxide 氢气 作用下， 反应 4.0h， 生成 6-(4-Chloro-phenyl)-4-piperidin-1-yl-5,6,7,8-tetrahydro-pteridin-2-ylamine
  参考文献：
  名称：

  Structural Requirements for Inhibition of the Neuronal Nitric Oxide Synthase (NOS-I):  3D-QSAR Analysis of 4-Oxo- and 4-Amino-Pteridine-Based Inhibitors

  摘要：

  The family of homodimeric nitric oxide synthases (NOS I-III) catalyzes the generation of the cellular messenger nitric oxide (NO) by oxidation of the substrate L-arginine. The rational design of specific NOS inhibitors is of therapeutic interest in regulating pathological NO levels associated with sepsis, inflammatory, and neurodegenerative diseases. The cofactor (6R)-5,6,7,8-tetrahydrobiopterin (H(4)Bip) maximally activates all NOSs and stabilizes enzyme quaternary structure by promoting and stabilizing dimerization. Here, we describe the synthesis and three-dimensional (3D) quantitative structure-activity relationship (QSAR) analysis of 65 novel 4-amino- and 4-oxo-pteridines (antipterins) as inhibitors targeting the H(4)Bip binding site of the neuronal NOS isoform (NOS-I). The experimental binding modes for two inhibitors complexed with the related endothelial NO synthase (NOS-III) reveal requirements of biological affinity and form the basis for ligand alignment. Different alignment rules were derived by building other compounds accordingly using manual superposition or a genetic algorithm for flexible superposition. Those alignments led to 3D-QSAR models (comparative molecular field analysis (CoMFA) and comparative molecular similarity index analysis (CoMSIA)), which were validated using leave-one-out cross-validation, multiple analyses with two and five randomly chosen cross-validation groups, perturbation of biological activities by randomization or progressive scrambling, and external prediction. An iterative realignment procedure based on rigid field fit was used to improve the consistency of the resulting partial least squares models. This led to consistent and highly predictive 3D-QSAR models with good correlation coefficients for both CoMFA and CoMSIA, which correspond to experimentally determined NOS-II and -III H(4)Bip binding site topologies as well as to the NOS-I homology model binding site in terms of steric, electrostatic, and hydrophobic complementarity. These models provide clear guidelines and accurate activity predictions for novel NOS-I inhibitors.

  DOI：

  10.1021/jm020074g