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作者:

Zhang Xiaoyi (Zhang Xiaoyi.) | Niu Wenling (Niu Wenling.) | Tang Tang (Tang Tang.) | Hou Chengfei (Hou Chengfei.) | Guo Yajie (Guo Yajie.) | Kong Ren (Kong Ren.)

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Scopus SCIE CSCD

摘要:

The study dealed with quantitative structure-activity relationship(QSAR) to explore the important features of diketo acid(DKA) derivatives for exerting potent HIV-1 integrase inhibitors activity. A three-step screening method was proposed to choose descriptors. Then, additional descriptors were used in the CoMFA and CoMSIA. Lastly, a modified CoMSIA m7 model, constructed by adding C-sp(2)_03_F descriptor, showed better predictive ability. Validation parameters(Q(2) and R-2) for the models were 0.722 and 0.925, respectively. In addition, external validation for the models using a test group revealed Rpred2 =0.892. Contour maps analysis defined favored and disfavored regions of the compounds, and two new compounds with the descriptor structure were designed with better activities than Raltegravir(RAL), well drug-likeness and low toxicity. The research provides a base for further DKA development.

关键词:

Autodock Descriptor screening Diketo acid(DKA) Drug design Modified quantitative structure-activity relationship(QSAR)

作者机构:

  • [ 1 ] [Zhang Xiaoyi]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 2 ] [Niu Wenling]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 3 ] [Tang Tang]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 4 ] [Hou Chengfei]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 5 ] [Guo Yajie]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 6 ] [Kong Ren]Jiangsu Univ Technol, Sch Elect & Informat Engn, Inst Bioinformat & Med Engn, Changzhou 213016, Peoples R China

通讯作者信息:

  • [Zhang Xiaoyi]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

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来源 :

CHEMICAL RESEARCH IN CHINESE UNIVERSITIES

ISSN: 1005-9040

年份: 2019

期: 6

卷: 35

页码: 1111-1118

3 . 1 0 0

JCR@2022

ESI学科: CHEMISTRY;

ESI高被引阀值:66

JCR分区:4

被引次数:

WoS核心集被引频次: 1

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ESI高被引论文在榜: 0 展开所有

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