Three-dimensional quantitative structure-activity relationship (3D QSAR) and pharmacophore elucidation of tetrahydropyran derivatives as serotonin and norepinephrine transporter inhibitors

被引:14
作者
Kharkar, Prashant S. [2 ]
Reith, Maarten E. A. [3 ]
Dutta, Aloke K. [1 ,2 ]
机构
[1] Applebaum Coll Pharm & Hlth Sci, Dept Pharmaceut Sci, Detroit, MI 48202 USA
[2] Wayne State Univ, Dept Pharmaceut Sci, Detroit, MI 48202 USA
[3] NYU, Dept Psychiat, New York, NY 10016 USA
关键词
CoMFA; 3D QSAR; NET; Pharmacophore; SERT;
D O I
10.1007/s10822-007-9146-7
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Three-dimensional quantitative structure-activity relationship (3D QSAR) using comparative molecular field analysis (CoMFA) was performed on a series of substituted tetrahydropyran (THP) derivatives possessing serotonin (SERT) and norepinephrine (NET) transporter inhibitory activities. The study aimed to rationalize the potency of these inhibitors for SERT and NET as well as the observed selectivity differences for NET over SERT. The dataset consisted of 29 molecules, of which 23 molecules were used as the training set for deriving CoMFA models for SERT and NET uptake inhibitory activities. Superimpositions were performed using atom-based fitting and 3-point pharmacophore-based alignment. Two charge calculation methods, Gasteiger-Hukel and semiempirical PM3, were tried. Both alignment methods were analyzed in terms of their predictive abilities and produced comparable results with high internal and external predictivities. The models obtained using the 3-point pharmacophore-based alignment outperformed the models with atom-based fitting in terms of relevant statistics and interpretability of the generated contour maps. Steric fields dominated electrostatic fields in terms of contribution. The selectivity analysis (NET over SERT), though yielded models with good internal predictivity, showed very poor external test set predictions. The analysis was repeated with 24 molecules after systematically excluding so-called outliers (5 out of 29) from the model derivation process. The resulting CoMFA model using the atom-based fitting exhibited good statistics and was able to explain most of the selectivity (NET over SERT)-discriminating factors. The presence of -OH substituent on the THP ring was found to be one of the most important factors governing the NET selectivity over SERT. Thus, a 4-point NET-selective pharmacophore, after introducing this newly found H-bond donor/acceptor feature in addition to the initial 3-point pharmacophore, was proposed.
引用
收藏
页码:1 / 17
页数:17
相关论文
共 32 条
[1]   NEUROTRANSMITTER TRANSPORTERS - RECENT PROGRESS [J].
AMARA, SG ;
KUHAR, MJ .
ANNUAL REVIEW OF NEUROSCIENCE, 1993, 16 :73-93
[2]   Three-dimensional quantitative structure-activity relationship analyses using comparative molecular field analysis and comparative molecular similarity indices analysis to elucidate selectivity differences of inhibitors binding to trypsin, thrombin, and factor Xa [J].
Böhm, M ;
Stürzebecher, J ;
Klebe, G .
JOURNAL OF MEDICINAL CHEMISTRY, 1999, 42 (03) :458-477
[3]   VALIDATION OF THE GENERAL-PURPOSE TRIPOS 5.2 FORCE-FIELD [J].
CLARK, M ;
CRAMER, RD ;
VANOPDENBOSCH, N .
JOURNAL OF COMPUTATIONAL CHEMISTRY, 1989, 10 (08) :982-1012
[4]   CROSS-VALIDATION, BOOTSTRAPPING, AND PARTIAL LEAST-SQUARES COMPARED WITH MULTIPLE-REGRESSION IN CONVENTIONAL QSAR STUDIES [J].
CRAMER, RD ;
BUNCE, JD ;
PATTERSON, DE ;
FRANK, IE .
QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS, 1988, 7 (01) :18-25
[5]   COMPARATIVE MOLECULAR-FIELD ANALYSIS (COMFA) .1. EFFECT OF SHAPE ON BINDING OF STEROIDS TO CARRIER PROTEINS [J].
CRAMER, RD ;
PATTERSON, DE ;
BUNCE, JD .
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 1988, 110 (18) :5959-5967
[6]  
Dunn W.J., 1984, Quant Struct. Act. Relat, P131, DOI 10.1002/qsar.19840030402
[7]   Dopamine transporter as target for drug development of cocaine dependence medications [J].
Dutta, AK ;
Zhang, SJ ;
Kolhatkar, R ;
Reith, MEA .
EUROPEAN JOURNAL OF PHARMACOLOGY, 2003, 479 (1-3) :93-106
[8]   Monoamine transporter gene structure and polymorphisms in relation to psychiatric and other complex disorders [J].
Hahn M.K. ;
Blakely R.D. .
The Pharmacogenomics Journal, 2002, 2 (4) :217-235
[9]  
Hajós M, 2004, CNS DRUG REV, V10, P23
[10]  
Heinz A, 2001, ALCOHOL CLIN EXP RES, V25, P487