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(2E)-1-(2,5-dihydroxyphenyl)-3-(2,3-dihydroxyphenyl)prop-2-ene-1-one

中文名称
——
中文别名
——
英文名称
(2E)-1-(2,5-dihydroxyphenyl)-3-(2,3-dihydroxyphenyl)prop-2-ene-1-one
英文别名
(E)-3-(2,3-dihydroxyphenyl)-1-(2,5-dihydroxyphenyl)prop-2-en-1-one
(2E)-1-(2,5-dihydroxyphenyl)-3-(2,3-dihydroxyphenyl)prop-2-ene-1-one化学式
CAS
——
化学式
C15H12O5
mdl
——
分子量
272.257
InChiKey
OYOQVJBZVPIRHT-GQCTYLIASA-N
BEILSTEIN
——
EINECS
——
  • 物化性质
  • 计算性质
  • ADMET
  • 安全信息
  • SDS
  • 制备方法与用途
  • 上下游信息
  • 反应信息
  • 文献信息
  • 表征谱图
  • 同类化合物
  • 相关功能分类
  • 相关结构分类

计算性质

  • 辛醇/水分配系数(LogP):
    2.8
  • 重原子数:
    20
  • 可旋转键数:
    3
  • 环数:
    2.0
  • sp3杂化的碳原子比例:
    0.0
  • 拓扑面积:
    98
  • 氢给体数:
    4
  • 氢受体数:
    5

上下游信息

  • 上游原料
    中文名称 英文名称 CAS号 化学式 分子量

反应信息

  • 作为产物:
    参考文献:
    名称:
    Cytotoxic 2′,5′-dihydroxychalcones with unexpected antiangiogenic activity
    摘要:
    A series of 2',5'-dihydroxychalcones were synthesized and evaluated for cytotoxicity against tumor cell lines and human umbilical venous endothelial cells (HUVEC). It was found that chalcones with electron-withdrawing substituents on the B ring exhibited potent cytotoxicity against a variety of tumor cell lines while compounds with electron-releasing groups ere less potent in general. Those compounds with B ring replaced by extended or heteroaromatic rings exhibited significant bioactivity. Several compounds were shown to have marked cytotoxic selectivity towards HUVECs. Especially, among the synthesized compounds. 2-chloro-2'.5'dihydroxychalcone (2-3) showed the highest selectivity index up to 66 in comparison to HCT 116 cells. This Compound also exhibited strong inhibitory effects on the HUVEC tube formation in an in vitro model. When administered into BDF1 mice bearing Lewis lung carcinoma cells at 50 mg kg(-1) day (-1), 2-3 was found to inhibit the growth of tumor mass by 60.5%. (C) 2003 Editions scientifiques et medicales Elsevier SAS. All rights reserved.
    DOI:
    10.1016/s0223-5234(02)01443-5
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文献信息

  • Design, synthesis and experimental validation of novel potential chemopreventive agents using random forest and support vector machine binary classifiers
    作者:Brienne Sprague、Qian Shi、Marlene T. Kim、Liying Zhang、Alexander Sedykh、Eiichiro Ichiishi、Harukuni Tokuda、Kuo-Hsiung Lee、Hao Zhu
    DOI:10.1007/s10822-014-9748-9
    日期:2014.6
    Compared to the current knowledge on cancer chemotherapeutic agents, only limited information is available on the ability of organic compounds, such as drugs and/or natural products, to prevent or delay the onset of cancer. In order to evaluate chemical chemopreventive potentials and design novel chemopreventive agents with low to no toxicity, we developed predictive computational models for chemopreventive agents in this study. First, we curated a database containing over 400 organic compounds with known chemoprevention activities. Based on this database, various random forest and support vector machine binary classifiers were developed. All of the resulting models were validated by cross validation procedures. Then, the validated models were applied to virtually screen a chemical library containing around 23,000 natural products and derivatives. We selected a list of 148 novel chemopreventive compounds based on the consensus prediction of all validated models. We further analyzed the predicted active compounds by their ease of organic synthesis. Finally, 18 compounds were synthesized and experimentally validated for their chemopreventive activity. The experimental validation results paralleled the cross validation results, demonstrating the utility of the developed models. The predictive models developed in this study can be applied to virtually screen other chemical libraries to identify novel lead compounds for the chemoprevention of cancers.
    与当前关于抗癌化疗药物的知识相比,关于有机化合物(如药物和/或天然产品)预防或延缓癌症发生的能力的信息非常有限。为了评估化学预防潜力并设计低毒至无毒的新型预防药物,本研究中我们开发了用于预防药物的预测计算模型。首先,我们构建了一个包含超过400种已知具有化学预防活性的有机化合物的数据库。基于该数据库,开发了多种随机森林和支持向量机二元分类器。所有得到的模型都通过交叉验证程序进行了验证。接着,将这些经过验证的模型应用于包含约23,000种天然产品及其衍生物化学库进行虚拟筛选。根据所有经过验证模型的共识预测,我们筛选出了148种新型化学预防化合物。我们对这些预测具有活性的化合物进行了有机合成难易程度的进一步分析。最后,合成了18种化合物并实验验证了它们的化学预防活性。实验验证结果与交叉验证结果相符,证明了所开发模型的实用性。本研究中开发的预测模型可用于虚拟筛选其他化学库,以识别用于癌症化学预防的新型先导化合物。
  • Design, synthesis, and evaluation of a water soluble C5-monoketone type curcumin analogue as a potent amyloid β aggregation inhibitor
    作者:Mayumi Hotsumi、Misato Tajiri、Yuri Nikaido、Taki Sato、Koki Makabe、Hiroyuki Konno
    DOI:10.1016/j.bmcl.2019.06.052
    日期:2019.8
    A structure activity relationship study of curcumin analogues for the inhibition of amyloid beta aggregation is described. Optimization of the o-phenol and olefin spacer resulted in the identification of the C5-monoketone type curcumin analogue AY1319, which exhibited potent anti-amyloid beta aggregation activity (leading to nanorod-like fragments), sufficient water solubility, and low cytotoxicity.
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