Literature DB >> 8258822

Three-dimensional quantitative structure-activity relationships of 5-HT receptor binding data for tetrahydropyridinylindole derivatives: a comparison of the Hansch and CoMFA methods.

A Agarwal1, P P Pearson, E W Taylor, H B Li, T Dahlgren, M Herslöf, Y Yang, G Lambert, D L Nelson, J W Regan.   

Abstract

A series of new derivatives of 3-(1,2,5,6-tetrahydropyridin-4-yl)indole (4-THPI) has been synthesized, and their dissociation constants at the 5-HT1A and 5-HT2 serotonin (5-HT) receptor subtypes have been determined. The new data were combined with similar binding data on a related set of THPI analogs reported previously (Taylor et al. Mol. Pharmacol. 1988, 34, 42-53) and used to develop 3-dimensional quantitative structure-activity relationships (3-D QSARs) for these compounds at the 5-HT1A and 5-HT2 receptor sites, by the method of comparative molecular field analysis (CoMFA). Since the previous study included several conventional QSARs obtained by Hansch analysis, and the new compounds in some cases fall within the congeneric series used in those analyses, we were able to make a direct comparison of the predictive capabilities of CoMFA and Hansch analysis using identical training and test data sets. The overall quality of actual predictions of activity by both methods appears to be about the same, as assessed by the root mean square (rms) residuals between actual and predicted pKi values. On the one hand, the compounds most poorly predicted by the Hansch analysis were 34, 35, and 37, while compounds 30-33 were relative poorly predicted by CoMFA. However, a clear advantage of CoMFA is the ability to include diversely substituted or noncongeneric analogs that must be omitted from conventional QSAR analysis. Using the entire data set of 45 THPI analogs reported here, pKi predictions for six additional compounds having 5-heteroarylindole substituents gave rms residuals of 0.46 and 0.36 for the 5-HT1A and 5-HT2 models, respectively; this is close to the experimental error of the binding data. The significance of the CoMFA field graphs in terms of molecular features required for activity and selectivity at these 5-HT receptor subtypes is discussed.

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Year:  1993        PMID: 8258822     DOI: 10.1021/jm00077a003

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  12 in total

1.  A comparative molecular field analysis of cytochrome P450 2A5 and 2A6 inhibitors.

Authors:  A Poso; J Gynther; R Juvonen
Journal:  J Comput Aided Mol Des       Date:  2001-03       Impact factor: 3.686

2.  3D QSAR (COMFA) of a series of potent and highly selective VLA-4 antagonists.

Authors:  Juswinder Singh; Herman van Vlijmen; Wen-Chemg Lee; Yusheng Liao; Ko-Chung Lin; Humayun Ateeq; Julio Cuervo; Craig Zimmerman; Charles Hammond; Michael Karpusas; Rex Palmer; Tapan Chattopadhyay; Steven P Adams
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

3.  A QSAR study of radical scavenging antioxidant activity of a series of flavonoids using DFT based quantum chemical descriptors--the importance of group frontier electron density.

Authors:  Ananda Sarkar; Tapas Ranjan Middya; Atish Dipnakar Jana
Journal:  J Mol Model       Date:  2011-11-13       Impact factor: 1.810

4.  Towards the design of cyclooxygenase (COX) inhibitors based on 4',5 di-substituted biphenyl acetic acid molecules: a QSAR study with a new DFT based descriptor - nucleus independent chemical shift.

Authors:  Ananda Sarkar; Golam Mostafa
Journal:  J Mol Model       Date:  2009-03-06       Impact factor: 1.810

5.  In Silico Studies Targeting G-protein Coupled Receptors for Drug Research Against Parkinson's Disease.

Authors:  Agostinho Lemos; Rita Melo; Antonio Jose Preto; Jose Guilherme Almeida; Irina Sousa Moreira; Maria Natalia Dias Soeiro Cordeiro
Journal:  Curr Neuropharmacol       Date:  2018       Impact factor: 7.363

6.  3D-QSAR using 'multiconformer' alignment: the use of HASL in the analysis of 5-HT1A thienopyrimidinone ligands.

Authors:  S Guccione; A M Doweyko; H Chen; G U Barretta; F Balzano
Journal:  J Comput Aided Mol Des       Date:  2000-10       Impact factor: 3.686

7.  From Homology Models to a Set of Predictive Binding Pockets-a 5-HT1A Receptor Case Study.

Authors:  Dawid Warszycki; Manuel Rueda; Stefan Mordalski; Kurt Kristiansen; Grzegorz Satała; Krzysztof Rataj; Zdzisław Chilmonczyk; Ingebrigt Sylte; Ruben Abagyan; Andrzej J Bojarski
Journal:  J Chem Inf Model       Date:  2017-01-18       Impact factor: 4.956

Review 8.  "Selective" serotonin 5-HT2A receptor antagonists.

Authors:  Austen B Casey; Meng Cui; Raymond G Booth; Clinton E Canal
Journal:  Biochem Pharmacol       Date:  2022-04-04       Impact factor: 6.100

9.  QSAR studies of copper azamacrocycles and thiosemicarbazones: MM3 parameter development and prediction of biological properties.

Authors:  Peter Wolohan; Jeongsoo Yoo; Michael J Welch; David E Reichert
Journal:  J Med Chem       Date:  2005-08-25       Impact factor: 7.446

10.  A linear combination of pharmacophore hypotheses as a new tool in search of new active compounds--an application for 5-HT1A receptor ligands.

Authors:  Dawid Warszycki; Stefan Mordalski; Kurt Kristiansen; Rafał Kafel; Ingebrigt Sylte; Zdzisław Chilmonczyk; Andrzej J Bojarski
Journal:  PLoS One       Date:  2013-12-18       Impact factor: 3.240

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