Literature DB >> 8568799

Binding of arylpiperazines, (aryloxy)propanolamines, and tetrahydropyridylindoles to the 5-HT1A receptor: contribution of the molecular lipophilicity potential to three-dimensional quantitative structure-affinity relationship models.

P Gaillard1, P A Carrupt, B Testa, P Schambel.   

Abstract

A set of 280 5-HT1A receptor ligands were selected from available literature data according to predefined criteria and subjected to three-dimensional quantitative structure-affinity relationship analysis using comparative molecular field analysis. No model was obtained for serotonin analogues (19 compounds) and aminotetralins (60 compounds), despite a variety of alignment hypotheses being tried. In contrast, the steric, electrostatic, and lipophilicity fields alone and in combination yielded informative models for arylpiperazines (101 training compounds and 12 test compounds), (aryloxy)propanolamines (30 training compounds and four test compounds), and tetrahydropyridylindoles (54 training compounds) taken separately (models A, B, and C). Arylpiperazines and (aryloxy)propanolamines were then combined successfully to yield reasonably good models for 131 compounds (model D). In a last step, the three chemical classes (185 compounds) were combined, again successfully (model E). This stepwise procedure not only ascertains self-consistency in alignments but it also allows statistical signals (i.e., favorable or unfavorable regions around molecules) to emerge which cannot exist in a single chemical class. The models so obtained reveal a number of interaction sites between ligands and the 5-HT1A receptor, and extend the information gathered from a model based on homology modeling.

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Year:  1996        PMID: 8568799     DOI: 10.1021/jm950410b

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


  6 in total

1.  Localization and quantification of hydrophobicity: the molecular free energy density (MolFESD) concept and its application to sweetness recognition.

Authors:  R Jäger; F Schmidt; B Schilling; J Brickmann
Journal:  J Comput Aided Mol Des       Date:  2000-10       Impact factor: 3.686

2.  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

3.  5-HT1A receptor pharmacophores to screen for off-target activity of α1-adrenoceptor antagonists.

Authors:  Tony Ngo; Timothy J Nicholas; Junli Chen; Angela M Finch; Renate Griffith
Journal:  J Comput Aided Mol Des       Date:  2013-04-27       Impact factor: 3.686

4.  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

5.  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 6.  An overview on GPCRs and drug discovery: structure-based drug design and structural biology on GPCRs.

Authors:  Kenneth Lundstrom
Journal:  Methods Mol Biol       Date:  2009
  6 in total

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