Literature DB >> 20077461

Selective pharmacophore models of dopamine D(1) and D(2) full agonists based on extended pharmacophore features.

Marcus Malo1, Lars Brive, Kristina Luthman, Peder Svensson.   

Abstract

This study is focused on the identification of structural features that determine the selectivity of dopamine receptor agonists toward D(1) and D(2) receptors. Selective pharmacophore models were developed for both receptors. The models were built by using projected pharmacophoric features that represent the main agonist interaction sites in the receptor (the Ser residues in TM5 and the Asp in TM3), a directional aromatic feature in the ligand, a feature with large positional tolerance representing the positively charged nitrogen in the ligand, and sets of excluded volumes reflecting the shapes of the receptors. The sets of D(1) and D(2) ligands used for modeling were carefully selected from published sources and consist of structurally diverse, conformationally rigid full agonists as active ligands together with structurally related inactives. The robustness of the models in discriminating actives from inactives was tested against four ensembles of conformations generated by using different established methods and different force fields. The reasons for the selectivity can be attributed to both geometrical differences in the arrangement of the features, e.g., different tilt angels of the pi system, as well as shape differences covered by the different sets of excluded volumes. This work provides useful information for the design of new D(1) and D(2) agonists and also for comparative homology modeling of D(1) and D(2) receptors. The approach is general and could therefore be applied to other ligand-protein interactions for which no experimental protein structure is available.

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Year:  2010        PMID: 20077461     DOI: 10.1002/cmdc.200900398

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  10 in total

1.  Functional roles of T3.37 and S5.46 in the activation mechanism of the dopamine D1 receptor.

Authors:  Estefanía A Hugo; Bruce K Cassels; Angélica Fierro
Journal:  J Mol Model       Date:  2017-03-31       Impact factor: 1.810

Review 2.  Revision of the classical dopamine D2 agonist pharmacophore based on an integrated medicinal chemistry, homology modelling and computational docking approach.

Authors:  N Krogsgaard-Larsen; K Harpsøe; J Kehler; C T Christoffersen; P Brøsen; T Balle
Journal:  Neurochem Res       Date:  2014-07-24       Impact factor: 3.996

3.  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

Review 4.  Dopamine and learned food preferences.

Authors:  Anthony Sclafani; Khalid Touzani; Richard J Bodnar
Journal:  Physiol Behav       Date:  2011-05-01

5.  Tetrahydroisoquinolines functionalized with carbamates as selective ligands of D2 dopamine receptor.

Authors:  Oscar Parravicini; M Lucrecia Bogado; Sebastián Rojas; Emilio L Angelina; Sebastián A Andujar; Lucas J Gutierrez; Nuria Cabedo; M Jesús Sanz; M Pilar López-Gresa; Diego Cortes; Ricardo D Enriz
Journal:  J Mol Model       Date:  2017-09-02       Impact factor: 1.810

6.  Investigation of D₁ receptor-agonist interactions and D₁/D₂ agonist selectivity using a combination of pharmacophore and receptor homology modeling.

Authors:  Marcus Malo; Lars Brive; Kristina Luthman; Peder Svensson
Journal:  ChemMedChem       Date:  2012-02-07       Impact factor: 3.466

7.  Investigation of D₂ receptor-agonist interactions using a combination of pharmacophore and receptor homology modeling.

Authors:  Marcus Malo; Lars Brive; Kristina Luthman; Peder Svensson
Journal:  ChemMedChem       Date:  2012-02-07       Impact factor: 3.466

8.  Identification of the Beer Component Hordenine as Food-Derived Dopamine D2 Receptor Agonist by Virtual Screening a 3D Compound Database.

Authors:  Thomas Sommer; Harald Hübner; Ahmed El Kerdawy; Peter Gmeiner; Monika Pischetsrieder; Timothy Clark
Journal:  Sci Rep       Date:  2017-03-10       Impact factor: 4.379

9.  Identification of Novel Dopamine D2 Receptor Ligands-A Combined In Silico/In Vitro Approach.

Authors:  Lukas Zell; Constanze Lainer; Jakub Kollár; Veronika Temml; Daniela Schuster
Journal:  Molecules       Date:  2022-07-11       Impact factor: 4.927

10.  Development of 7TM receptor-ligand complex models using ligand-biased, semi-empirical helix-bundle repacking in torsion space: application to the agonist interaction of the human dopamine D2 receptor.

Authors:  Marcus Malo; Ronnie Persson; Peder Svensson; Kristina Luthman; Lars Brive
Journal:  J Comput Aided Mol Des       Date:  2013-04-04       Impact factor: 3.686

  10 in total

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