The fast pace of drug discovery programs, aided by high-throughput screening campaigns, often relies on the generation of combinatorial libraries to identify new chemical entities. The Ugi 4- and 3-component reactions in particular [1], have proven to be robust in producing both tool compounds and drugs [2,3]. Here we report a high-throughput entry into the imidazopyridine scaffold, using a microfluidic-assisted synthesis setup, coupled to a target prediction tool to de-orphan a focused compound library with high success rate, and identify an innovative GPCR-inhibiting chemotype. Combinatorial compounds were correctly identified as ligand-efficient adenosine A1/2B, and adrenergic α1A/B inhibitors with Ki values in the low micromolar range.
. 2014 Mar 11;6(Suppl 1):P49. doi: 10.1186/1758-2946-6-S1-P49
Go with the flow: de-orphaning focused combinatorial libraries
Michael Reutlinger
1,✉, Tiago Rodrigues
1, Petra Schneider
1, Gisbert Schneider
1
Michael Reutlinger
1Department of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology (ETH), Zurich, 8093, Switzerland
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Tiago Rodrigues
1Department of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology (ETH), Zurich, 8093, Switzerland
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Petra Schneider
1Department of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology (ETH), Zurich, 8093, Switzerland
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Gisbert Schneider
1Department of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology (ETH), Zurich, 8093, Switzerland
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1Department of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology (ETH), Zurich, 8093, Switzerland
✉
Corresponding author.
Supplement
9th German Conference on Chemoinformatics
Conference
10-12 November 2013
9th German Conference on Chemoinformatics
Fulda, Germany
Collection date 2014.
Copyright © 2014 Reutlinger et al; licensee Chemistry Central Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
PMCID: PMC3980056
