3D QSAR comparative molecular field analysis on nonsteroidal farnesoid X receptor activators

被引:36
|
作者
Honorio, Kathia M.
Garratt, Richard C.
Polikatpov, Igor
Andricopulo, Adriano D.
机构
[1] Univ Sao Paulo, Lab Quim Med & Computac, Ctr Biotecnol Mol Estrutural, Inst Fis Sao Carlos, BR-13560970 Sao Carlos, SP, Brazil
[2] Univ Sao Paulo, Escola Artes Ciencias & Humanidades, BR-03828000 Sao Paulo, Brazil
来源
JOURNAL OF MOLECULAR GRAPHICS & MODELLING | 2007年 / 25卷 / 06期
基金
巴西圣保罗研究基金会;
关键词
nuclear receptors; FXR; QSAR; CoMFA;
D O I
10.1016/j.jmgm.2006.09.003
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Three-dimensional quantitative structure-activity relationships (3D QSAR) were performed for a series of farsenoid X receptor activators using comparative molecular field analysis (CoMFA). A training set containing 77 compounds served to establish the models. The best statistical results among all models were obtained with region focusing weighted by a S.D. x coefficient values of 0.8 and a grid spacing of 1.0 (r(2) = 0.963, SEE = 0.097; q(2) = 0.742, SEP = 0.255). The model was used to predict the potency of 20 test set compounds that were not included in the training set, and the predicted values were in good agreement with the experimental results. The final CoMFA model along with the information obtained from 3D contour maps should be useful for the design of novel FXR ligands having improved potency. (c) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码:921 / 927
页数:7
相关论文
共 50 条
  • [41] Molecular docking and 3D-QSAR studies on the glucocorticoid receptor antagonistic activity of hydroxylated polychlorinated biphenyls
    Liu, S.
    Luo, Y.
    Fu, J.
    Zhou, J.
    Kyzas, G. Z.
    SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2016, 27 (02) : 87 - 99
  • [42] 3D-QSAR study of schizandrins for anti-HIV using comparative molecular similarity indices analysis
    Li, W
    Yi, X
    Xiao, PG
    Chu, FM
    Guo, YS
    Qiao, YJ
    Bi, KS
    Guo, ZR
    ACTA CHIMICA SINICA, 2002, 60 (07) : 1311 - 1317
  • [43] Molecular Docking, 3D QSAR and Designing of New Quinazolinone Analogues as DHFR Inhibitors
    Yamini, L.
    Kumari, K. Meena
    Vijjulatha, M.
    BULLETIN OF THE KOREAN CHEMICAL SOCIETY, 2011, 32 (07) : 2433 - 2442
  • [44] 3D QSAR AND MOLECULAR DOCKING STUDIES OF FLAVONOIDS AS SPLEEN TYROSINE KINASE INHIBITORS
    Basu, A.
    Sarkar, A.
    Basak, P.
    INTERNATIONAL JOURNAL OF PHARMACEUTICAL SCIENCES AND RESEARCH, 2018, 9 (05): : 1921 - 1928
  • [45] 3D-QSAR Studies of Various Diaryl Urea Derivatives of Multi-targeted Receptor Tyrosine Kinase Inhibitors: Molecular Field Analysis Approach
    Kansal, Neha
    Silakari, Om
    Ravikumar, Muttineni
    LETTERS IN DRUG DESIGN & DISCOVERY, 2008, 5 (07) : 437 - 448
  • [46] Comparative Occupancy Analysis (CoOAn) - A Straightforward and Directly Applicable 3D-QSAR Formalism to Extract Molecular Features Obligatory for Designing Potent Leads
    Verma, Jitender
    Malde, Alpeshkumar
    Khedkar, Santosh
    Coutinho, Evans
    MOLECULAR INFORMATICS, 2012, 31 (6-7) : 431 - 442
  • [47] Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) Studies on α1A-Adrenergic Receptor Antagonists Based on Pharmacophore Molecular Alignment
    Zhao, Xin
    Chen, Minsheng
    Huang, Biyun
    Ji, Hong
    Yuan, Mu
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2011, 12 (10) : 7022 - 7037
  • [48] 3D-QSAR analysis and molecular modeling investigations of piritrexim and analogous
    Fleischer, R
    Wiese, M
    Troschutz, R
    Zink, M
    JOURNAL OF MOLECULAR MODELING, 1997, 3 (08) : 338 - 346
  • [49] 3D-QSAR Analysis and Molecular Modeling Investigations of Piritrexim and Analogous
    Romy Fleischer
    Michael Wiese
    Reinhard Troschütz
    Mario Zink
    Molecular modeling annual, 1997, 3 : 338 - 346
  • [50] In silico prediction of estrogen receptor subtype binding affinity and selectivity using 3D-QSAR and molecular docking
    Jiang, Wenliang
    Chen, Qinghua
    Zhou, Bo
    Wang, Fangfang
    MEDICINAL CHEMISTRY RESEARCH, 2019, 28 (11) : 1974 - 1994