Literature DB >> 24282133

Combining on-chip synthesis of a focused combinatorial library with computational target prediction reveals imidazopyridine GPCR ligands.

Michael Reutlinger1, Tiago Rodrigues, Petra Schneider, Gisbert Schneider.   

Abstract

Using the example of the Ugi three-component reaction we report a fast and efficient microfluidic-assisted entry into the imidazopyridine scaffold, where building block prioritization was coupled to a new computational method for predicting ligand-target associations. We identified an innovative GPCR-modulating combinatorial chemotype featuring ligand-efficient adenosine A1/2B and adrenergic α1A/B receptor antagonists. Our results suggest the tight integration of microfluidics-assisted synthesis with computer-based target prediction as a viable approach to rapidly generate bioactivity-focused combinatorial compound libraries with high success rates.
Copyright © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  combinatorial chemistry; computer chemistry; drug design; microfluidics; multicomponent reactions

Mesh:

Substances:

Year:  2013        PMID: 24282133     DOI: 10.1002/anie.201307786

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  8 in total

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Review 7.  Natural Products for Drug Discovery in the 21st Century: Innovations for Novel Drug Discovery.

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8.  Machine Learning Uncovers Food- and Excipient-Drug Interactions.

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  8 in total

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