Three-dimensional quantitative structure-activity relationship (3D-QSAR) analyses of choline acetyltransferase inhibitors

被引:12
|
作者
Chandrasekaran, V
McGaughey, GB
Cavallito, CJ
Bowen, JP
机构
[1] Univ Georgia, Ctr Biomol Struct & Dynam, Dept Chem, Athens, GA 30602 USA
[2] Merck Res Labs, West Point, PA 19486 USA
[3] Univ N Carolina, Chapel Hill, NC USA
来源
关键词
choline acetyltransferase inhibitors; 3D-QSAR; CoMFA; CoMSIA; molecular mechanics;
D O I
10.1016/j.jmgm.2004.04.002
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
As a basis for predicting structural features that may lead to the design of more potent and selective inhibitors of choline acetyltransferase (ChAT), the three-dimensional quantitative structure-activity relationship (3D-QSAR) studies were carried out on a series of trans-1-methyl-4-(1-naphthylvinyl)pyridinium (MNVP+) analogs, which are known ChAT inhibitors. 3D-QSAR studies were carried out using the comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) methods. Since these inhibitors have extremely shallow potential energy minimum energy wells and low barriers to rotation, two dihedral angles unique to these inhibitors were systematically modified to reflect the energetically preferred conformations as determined by force field calculations. An optimum alignment rule was devised based on the conformations obtained from the molecular mechanics studies, using a common substructure alignment method. The studies involve a set of 21 compounds and experimentally determined molar IC50 values were used as the dependent variable in the analysis. The 3D-QSAR models have conventional r(2)-values of 0.953 and 0.954 for CoMFA and CoMSIA, respectively; similarly, cross-validated coefficient q(2)-values of 0.755 and 0.834 for CoMFA and CoMSIA, respectively, were obtained. On the basis of these predictive r(2)-values the model was tested using previously determined IC50 values. CoMSIA 3D-QSAR yielded better results than CoMFA. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:69 / 76
页数:8
相关论文
共 50 条
  • [1] Polarizability fields for use in three-dimensional quantitative structure-activity relationship (3D-QSAR)
    Bradley, M
    Waller, CL
    [J]. JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 2001, 41 (05): : 1301 - 1307
  • [2] Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies of various benzodiazepine analogues of γ-secretase inhibitors
    Tarnvir Sammi
    Om Silakari
    Muttineni Ravikumar
    [J]. Journal of Molecular Modeling, 2009, 15 : 343 - 348
  • [3] Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies of various benzodiazepine analogues of γ-secretase inhibitors
    Sammi, Tarnvir
    Silakari, Om
    Ravikumar, Muttineni
    [J]. JOURNAL OF MOLECULAR MODELING, 2009, 15 (04) : 343 - 348
  • [4] Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies of tricyclic oxazolidinones as antibacterial agents
    Gopalakrishnan, B
    Khandelwal, A
    Rajjak, SA
    Selvakumar, N
    Das, J
    Trehan, S
    Iqbal, J
    Kumar, MS
    [J]. BIOORGANIC & MEDICINAL CHEMISTRY, 2003, 11 (12) : 2569 - 2574
  • [5] Influence of conformation on GRIND-based three-dimensional quantitative structure-activity relationship (3D-QSAR)
    Caron, Giulia
    Ermondi, Giuseppe
    [J]. JOURNAL OF MEDICINAL CHEMISTRY, 2007, 50 (20) : 5039 - 5042
  • [6] Three-dimensional quantitative structure-activity relationship (3D-QSAR) of 3-aryloxazolidin-2-one antibacterials
    Karki, RG
    Kulkarni, VM
    [J]. BIOORGANIC & MEDICINAL CHEMISTRY, 2001, 9 (12) : 3153 - 3160
  • [7] Design of novel matrix metalloproteinase inhibitors based on three-dimensional quantitative structure-activity relationship (3D-QSAR) models.
    Welsh, WJ
    Amin, EA
    [J]. BIOCHEMISTRY, 2001, 40 (29) : 8653 - 8653
  • [8] Prediction of organophosphorus acetylcholinesterase inhibition using three-dimensional quantitative structure-activity relationship (3D-QSAR) methods
    Yazal, JE
    Rao, SN
    Mehl, A
    Slikker, W
    [J]. TOXICOLOGICAL SCIENCES, 2001, 63 (02) : 223 - 232
  • [9] Dockinig Study and Three-Dimensional Quantitative Structure-Activity Relationship (3D-QSAR) Analyses of Transforming Growth Factor-β Type I Receptor Kinase Inhibitors
    Yang, Min
    Zhou, Lu
    Zuo, Zhili
    Mancera, Ricardo
    Song, Hang
    Tang, Xiangyang
    Ma, Xiang
    [J]. QSAR & COMBINATORIAL SCIENCE, 2009, 28 (11-12): : 1300 - 1308
  • [10] Three-dimensional quantitative structure-activity relationships (3D-QSAR) study of PPARγ partial agonists
    Guasch, L.
    Sala, E.
    Pujadas, G.
    Garcia-Vallve, S.
    [J]. FEBS JOURNAL, 2010, 277 : 65 - 66