Prediction of gap junction inhibitor potency using quantitative structure-activity relationship model

被引:0
|
作者
Matuseviciute, Ramona [1 ]
Ignataviciute, Egle [1 ]
Mickus, Rokas [2 ]
Bordel, Sergio [2 ]
Skeberdis, Vytenis Arvydas [2 ]
Raskevicius, Vytautas [2 ]
机构
[1] Lithuanian Univ Hlth Sci, Fac Med, Kaunas, Lithuania
[2] Lithuanian Univ Hlth Sci, Inst Cardiol, Kaunas, Lithuania
关键词
D O I
暂无
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
引用
收藏
页数:1
相关论文
共 50 条
  • [31] A quantitative structure-activity relationship model for the intrinsic activity of uncouplers of oxidative phosphorylation
    Spycher, S
    Escher, BI
    Gasteiger, J
    CHEMICAL RESEARCH IN TOXICOLOGY, 2005, 18 (12) : 1858 - 1867
  • [32] Synthetic cannabinoids: In silico prediction of the cannabinoid receptor 1 affinity by a quantitative structure-activity relationship model
    Paulke, Alexander
    Proschak, Ewgenij
    Sommer, Kai
    Achenbach, Janosch
    Wunder, Cora
    Toennes, Stefan W.
    TOXICOLOGY LETTERS, 2016, 245 : 1 - 6
  • [33] Quantitative structure-activity relationship study for prediction of antifungal properties of phenolic compounds
    Michael Appell
    Yi-Shu Tu
    David L. Compton
    Kervin O. Evans
    Lijuan C. Wang
    Structural Chemistry, 2020, 31 : 1621 - 1630
  • [34] Local and global quantitative structure-activity relationship modeling and prediction for the baseline toxicity
    Yuan, Hua
    Wang, Yongyan
    Cheng, Yiyu
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2007, 47 (01) : 159 - 169
  • [35] Quantitative structure-activity relationship study for prediction of antifungal properties of phenolic compounds
    Appell, Michael
    Tu, Yi-Shu
    Compton, David L.
    Evans, Kervin O.
    Wang, Lijuan C.
    STRUCTURAL CHEMISTRY, 2020, 31 (04) : 1621 - 1630
  • [36] Prediction of Second-Order Rate Constants of Sulfate Radical with Aromatic Contaminants Using Quantitative Structure-Activity Relationship Model
    Ding, Han
    Hu, Jiangyong
    WATER, 2022, 14 (05)
  • [37] Comparison of Quantitative Structure-Activity Relationship Model Performances on Carboquinone Derivatives
    Bolboaca, Sorana D.
    Jaentschi, Lorentz
    THESCIENTIFICWORLDJOURNAL, 2009, 9 : 1148 - 1166
  • [38] Interspecies quantitative structure-activity relationship model for aldehydes: Aquatic toxicity
    Dimitrov, S
    Koleva, Y
    Schultz, TW
    Walker, JD
    Mekenyan, O
    ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 2004, 23 (02) : 463 - 470
  • [39] Prediction of the health effects of polychlorinated biphenyls (PCBs) and their metabolites using quantitative structure-activity relationship (QSAR)
    Ruiz, P.
    Faroon, O.
    Moudgal, C. J.
    Hansen, H.
    De Rosa, C. T.
    Mumtaz, M.
    TOXICOLOGY LETTERS, 2008, 181 (01) : 51 - 63
  • [40] PREDICTION OF ACTIVATED CARBON ADSORPTION CAPACITIES FOR ORGANIC VAPORS USING QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP METHODS
    NIRMALAKHANDAN, NN
    SPEECE, RE
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 1993, 27 (08) : 1512 - 1516