Literature DB >> 11754579

New serotonin 5-HT(2A), 5-HT(2B), and 5-HT(2C) receptor antagonists: synthesis, pharmacology, 3D-QSAR, and molecular modeling of (aminoalkyl)benzo and heterocycloalkanones.

José Brea1, Jordi Rodrigo, Antonio Carrieri, Ferran Sanz, M Isabel Cadavid, María J Enguix, María Villazón, Guadalupe Mengod, Yolanda Caro, Christian F Masaguer, Enrique Raviña, Nuria B Centeno, Angelo Carotti, M Isabel Loza.   

Abstract

A series of 52 conformationally constrained butyrophenones have been synthesized and pharmacologically tested as antagonists at 5-HT(2A), 5-HT(2B), and 5-HT(2C) serotonin receptors, useful for dissecting the role of each 5-HT(2) subtype in pathophysiology. These compounds were also a consistent set for the identification of structural features relevant to receptor recognition and subtype discrimination. Six compounds were found highly active (pK(i) > 8.76) and selective at the 5-HT(2A) receptor vs 5-HT(2B) and/or 5-HT(2C) receptors. Piperidine fragments confer high affinity at the 5-HT(2A) receptor subtype, with benzofuranone- and thiotetralonepiperidine as the most selective derivatives over 5-HT(2C) and 5-HT(2B) receptors, respectively; K(i) (2A/2C) and/or K(B) (2A/2B) ratios greater than 100 were obtained. Compounds showing a more pronounced selectivity at 5-HT(2A)/5-HT(2C) than at 5-HT(2A)/5-HT(2B) bear 6-fluorobenzisoxazolyl- and p-fluorobenzoylpiperidine moieties containing one methylene bridging the basic piperidine to the alkanone moiety. An ethylene bridge between the alkanone and the amino moieties led to ligands with higher affinities for the 5-HT(2B) receptor. Significant selectivity at the 5-HT(2B) receptor vs 5-HT(2C) was observed with 1-1[(1-oxo-1,2,3,4-tetrahydro-3-naphthyl)methyl]-4-[3-(p-fluorobenzoyl)propyl]piperazine (more than 100-fold higher). Although piperidine fragments also confer higher affinity at 5-HT(2C) receptors, only piperazine-containing ligands were selective over 5-HT(2A). Moderate selectivity was observed at 5-HT(2C) vs 5-HT(2B) (10-fold) with some compounds bearing a 4-[3-(6-fluorobenzisoxazolyl)]piperidine moiety in its structure. Molecular determinants for antagonists acting at 5-HT(2A) receptors were identified by 3D-QSAR (GRID-GOLPE) studies. Docking simulations at 5-HT(2A) and 5-HT(2C) receptors suggest a binding site for the studied type of antagonists (between transmembrane helices 2, 3, and 7) different to that of the natural agonist serotonin (between 3, 5, and 6).

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 11754579     DOI: 10.1021/jm011014y

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


  7 in total

1.  Ligand and structure-based methodologies for the prediction of the activity of G protein-coupled receptor ligands.

Authors:  Stefano Costanzi; Irina G Tikhonova; T Kendall Harden; Kenneth A Jacobson
Journal:  J Comput Aided Mol Des       Date:  2008-05-16       Impact factor: 3.686

2.  Shape signatures: new descriptors for predicting cardiotoxicity in silico.

Authors:  Dmitriy S Chekmarev; Vladyslav Kholodovych; Konstantin V Balakin; Yan Ivanenkov; Sean Ekins; William J Welsh
Journal:  Chem Res Toxicol       Date:  2008-05-08       Impact factor: 3.739

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

4.  Phe369(7.38) at human 5-HT(7) receptors confers interspecies selectivity to antagonists and partial agonists.

Authors:  Thibault Varin; Hugo Gutiérrez-de-Terán; Marián Castro; José Brea; Frederic Fabis; François Dauphin; Johan Aqvist; Alban Lepailleur; Pilar Perez; Javier Burgueño; José Miguel Vela; Maria Isabel Loza; Jordi Rodrigo
Journal:  Br J Pharmacol       Date:  2009-11-18       Impact factor: 8.739

5.  Design, synthesis and biological activity evaluation of arylpiperazine derivatives for the treatment of neuropathic pain.

Authors:  Yin Chen; Guan Wang; Xiangqing Xu; Bi-Feng Liu; Jianqi Li; Guisen Zhang
Journal:  Molecules       Date:  2011-07-07       Impact factor: 4.411

6.  Machine learning vs. field 3D-QSAR models for serotonin 2A receptor psychoactive substances identification.

Authors:  Giuseppe Floresta; Vincenzo Abbate
Journal:  RSC Adv       Date:  2021-04-20       Impact factor: 3.361

Review 7.  In silico pharmacology for drug discovery: applications to targets and beyond.

Authors:  S Ekins; J Mestres; B Testa
Journal:  Br J Pharmacol       Date:  2007-06-04       Impact factor: 8.739

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.