Literature DB >> 15791686

GPCR antitarget modeling: pharmacophore models for biogenic amine binding GPCRs to avoid GPCR-mediated side effects.

Thomas Klabunde1, Andreas Evers.   

Abstract

G protein-coupled receptors (GPCRs) form a large protein family that plays an important role in many physiological and pathophysiological processes. However, the central role that the biogenic amine binding GPCRs and their ligands play in cell signaling poses a risk in new drug candidates that reveal side affinities towards these receptor sites. These candidates have the potential to interfere with the physiological signaling processes and to cause undesired effects in preclinical or clinical studies. Here, we present 3D cross-chemotype pharmacophore models for three biogenic amine antitargets: the alpha(1A) adrenergic, the 5-HT(2A) serotonin, and the D2 dopamine receptors. These pharmacophores describe the key chemical features present within these biogenic amine antagonists and rationalize the biogenic amine side affinities found for numerous new drug candidates. First applications of the alpha(1A) adrenergic receptor model reveal that these in silico tools can be used to guide the chemical optimization towards development candidates with fewer alpha(1A)-mediated side effects (for example, orthostatic hypotension) and, thus, with an improved clinical safety profile.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15791686     DOI: 10.1002/cbic.200400369

Source DB:  PubMed          Journal:  Chembiochem        ISSN: 1439-4227            Impact factor:   3.164


  14 in total

1.  Phenyl Ether- and Aniline-Containing 2-Aminoquinolines as Potent and Selective Inhibitors of Neuronal Nitric Oxide Synthase.

Authors:  Maris A Cinelli; Huiying Li; Anthony V Pensa; Soosung Kang; Linda J Roman; Pavel Martásek; Thomas L Poulos; Richard B Silverman
Journal:  J Med Chem       Date:  2015-10-27       Impact factor: 7.446

2.  High-throughput structure-based pharmacophore modelling as a basis for successful parallel virtual screening.

Authors:  Theodora M Steindl; Daniela Schuster; Gerhard Wolber; Christian Laggner; Thierry Langer
Journal:  J Comput Aided Mol Des       Date:  2006-09-29       Impact factor: 3.686

3.  Exploring structure-selectivity relationships of biogenic amine GPCR antagonists using similarity searching and dynamic compound mapping.

Authors:  Ingo Vogt; Hany E A Ahmed; Jens Auer; Jürgen Bajorath
Journal:  Mol Divers       Date:  2008-03-04       Impact factor: 2.943

4.  Quantitative prediction of antitarget interaction profiles for chemical compounds.

Authors:  Alexey V Zakharov; Alexey A Lagunin; Dmitry A Filimonov; Vladimir V Poroikov
Journal:  Chem Res Toxicol       Date:  2012-11-02       Impact factor: 3.739

5.  Toward deciphering the code to aminergic G protein-coupled receptor drug design.

Authors:  Edwin S Tan; Eli S Groban; Matthew P Jacobson; Thomas S Scanlan
Journal:  Chem Biol       Date:  2008-04

6.  Novel approach for efficient pharmacophore-based virtual screening: method and applications.

Authors:  Oranit Dror; Dina Schneidman-Duhovny; Yuval Inbar; Ruth Nussinov; Haim J Wolfson
Journal:  J Chem Inf Model       Date:  2009-10       Impact factor: 4.956

7.  A novel structural framework for α(1A/D)-adrenoceptor selective antagonists identified using subtype selective pharmacophores.

Authors:  Emily S Stoddart; Sevvandi Senadheera; Iain J A MacDougall; Renate Griffith; Angela M Finch
Journal:  PLoS One       Date:  2011-05-10       Impact factor: 3.240

8.  Binding of protein kinase inhibitors to synapsin I inferred from pair-wise binding site similarity measurements.

Authors:  Enrico Defranchi; Enrico De Franchi; Claire Schalon; Mirko Messa; Franco Onofri; Fabio Benfenati; Didier Rognan
Journal:  PLoS One       Date:  2010-08-16       Impact factor: 3.240

9.  Exploring the ligand-protein networks in traditional chinese medicine: current databases, methods, and applications.

Authors:  Mingzhu Zhao; Qiang Zhou; Wanghao Ma; Dong-Qing Wei
Journal:  Evid Based Complement Alternat Med       Date:  2013-06-02       Impact factor: 2.629

10.  In silico elucidation of the molecular mechanism defining the adverse effect of selective estrogen receptor modulators.

Authors:  Lei Xie; Jian Wang; Philip E Bourne
Journal:  PLoS Comput Biol       Date:  2007-09-26       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.