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In search of novel ligands using a structure-based approach: a case study on the adenosine A2A receptor

Overview of attention for article published in Perspectives in Drug Discovery and Design, September 2016
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Title
In search of novel ligands using a structure-based approach: a case study on the adenosine A2A receptor
Published in
Perspectives in Drug Discovery and Design, September 2016
DOI 10.1007/s10822-016-9963-7
Pubmed ID
Authors

Eelke B. Lenselink, Thijs Beuming, Corine van Veen, Arnault Massink, Woody Sherman, Herman W. T. van Vlijmen, Adriaan P. IJzerman

Abstract

In this work, we present a case study to explore the challenges associated with finding novel molecules for a receptor that has been studied in depth and has a wealth of chemical information available. Specifically, we apply a previously described protocol that incorporates explicit water molecules in the ligand binding site to prospectively screen over 2.5 million drug-like and lead-like compounds from the commercially available eMolecules database in search of novel binders to the adenosine A2A receptor (A2AAR). A total of seventy-one compounds were selected for purchase and biochemical assaying based on high ligand efficiency and high novelty (Tanimoto coefficient ≤0.25 to any A2AAR tested compound). These molecules were then tested for their affinity to the adenosine A2A receptor in a radioligand binding assay. We identified two hits that fulfilled the criterion of ~50 % radioligand displacement at a concentration of 10 μM. Next we selected an additional eight novel molecules that were predicted to make a bidentate interaction with Asn253(6.55), a key interacting residue in the binding pocket of the A2AAR. None of these eight molecules were found to be active. Based on these results we discuss the advantages of structure-based methods and the challenges associated with finding chemically novel molecules for well-explored targets.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Researcher 6 18%
Student > Ph. D. Student 4 12%
Student > Bachelor 3 9%
Student > Doctoral Student 1 3%
Other 4 12%
Unknown 8 24%
Readers by discipline Count As %
Chemistry 6 18%
Pharmacology, Toxicology and Pharmaceutical Science 5 15%
Biochemistry, Genetics and Molecular Biology 4 12%
Computer Science 3 9%
Agricultural and Biological Sciences 2 6%
Other 4 12%
Unknown 10 29%