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Quantitative analysis of the structural requirements for blockade of the N-methyl-D-aspartate receptor at the phencyclidine binding site
被引:39
|作者:
Kroemer, RT
Koutsilieri, E
Hecht, P
Liedl, KR
Riederer, P
Kornhuber, J
机构:
[1] Univ Oxford, Phys & Theoret Chem Lab, Oxford OX1 3QZ, England
[2] Univ Wurzburg, Dept Psychiat, D-97080 Wurzburg, Germany
[3] Tripos GMBH, D-81829 Munich, Germany
[4] Univ Innsbruck, Dept Gen Inorgan & Theoret Chem, A-6020 Innsbruck, Austria
[5] Univ Gottingen, Psychiat Klin & Poliklin, D-37075 Gottingen, Germany
关键词:
D O I:
10.1021/jm9704412
中图分类号:
R914 [药物化学];
学科分类号:
100701 ;
摘要:
Blockade of the N-methyl-D-aspartate receptor by uncompetitive antagonists has implications for symptomatic and neuroprotective therapy of various neuropsychiatric diseases. Since the three-dimensional (3D) structure of this ion channel is unknown, the structural requirements for uncompetitive inhibition were investigated by application of a three-step strategy: At first, K-i values were measured for a number of structurally diverse compounds at the phencyclidine (PCP) binding site in postmortem human frontal cor tex. Second, a pharmacophore model was developed for this set of molecules employing a mathematical method called graph theory. The resulting pharmacophore provided a very good explanation for the ability of structurally diverse compounds to bind to the same binding site. Using the experimental data and the pharmacophore as a basis for the third step, a three-dimensional quantitative structure-activity relationship (SD-QSAR) applying comparative molecular field analysis (CoMFA) was performed. The QSAR proved to be highly consistent and showed good predictiveness for several additional molecules. The results give a deeper insight into the structural requirements for effective NMDA receptor antagonism and offer the opportunity for improved drug design. The study represents the first quantitative 3D-QSAR model for NMDA receptor blockade, and it comprises structurally very different molecules. That the alignment for a highly consistent CoMFA is based on an automated 3D pharmacophore analysis has important methodological implications.
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页码:393 / 400
页数:8
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