Literature DB >> 19434836

Substructure mining of GPCR ligands reveals activity-class specific functional groups in an unbiased manner.

Eelke van der Horst1, Yasushi Okuno, Andreas Bender, Adriaan P IJzerman.   

Abstract

In this study, we conducted frequent substructure mining to identify structural features that discriminate between ligands that do bind to G protein-coupled receptors (GPCRs) and those that do not. In most cases, particular chemical representations resulted in the most significant substructures. Substructures found to be characteristic for the background control set reflected reactions that may have been used to construct this library, e.g., for the ChemBridge DIVERSet library employed these are ester and carboxamide moieties. Alkane amine substructures were identified as most important for GPCR ligands, e.g. the butylamine substructure, often linked to an aromatic system. Hierarchical analysis of targeted GPCRs revealed well-known motives and new substructural features. One example is the imidazole-like substructure common for the histamine binding receptor ligands. Another example is the planar ring system consisting of a fused five- and six-membered ring (indole-like substucture) common for the serotonin receptor ligands.

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Year:  2009        PMID: 19434836     DOI: 10.1021/ci8003896

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  4 in total

1.  A structural chemogenomics analysis of aminergic GPCRs: lessons for histamine receptor ligand design.

Authors:  A J Kooistra; S Kuhne; I J P de Esch; R Leurs; C de Graaf
Journal:  Br J Pharmacol       Date:  2013-09       Impact factor: 8.739

2.  Cross-pharmacology analysis of G protein-coupled receptors.

Authors:  Ferran Briansó; Maria C Carrascosa; Tudor I Oprea; Jordi Mestres
Journal:  Curr Top Med Chem       Date:  2011       Impact factor: 3.295

3.  A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization.

Authors:  Eelke van der Horst; Julio E Peironcely; Adriaan P Ijzerman; Margot W Beukers; Jonathan R Lane; Herman W T van Vlijmen; Michael T M Emmerich; Yasushi Okuno; Andreas Bender
Journal:  BMC Bioinformatics       Date:  2010-06-10       Impact factor: 3.169

4.  pdCSM-GPCR: predicting potent GPCR ligands with graph-based signatures.

Authors:  João Paulo L Velloso; David B Ascher; Douglas E V Pires
Journal:  Bioinform Adv       Date:  2021-11-10
  4 in total

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