Barcode-free hit discovery from massive libraries enabled by automated small molecule structure annotation
Nature Communications, vol. 16, pp. 9479
Abstract
Affinity-selection platforms are powerful tools in early drug discovery, but current technologies - most notably DNA-encoded libraries (DELs) - are limited by synthesis complexity and incompatibility with nucleic acid-binding targets. We present a barcode-free self-encoded library (SEL) platform that enables direct screening of over half a million small molecules in a single experiment. SELs combine tandem mass spectrometry with custom software for automated structure annotation, eliminating the need for external tags for the identification of screening hits. We develop efficient, high-diversity synthesis protocols for a broad range of chemical scaffolds and benchmark the platform in affinity selections against carbonic anhydrase IX, identifying multiple nanomolar binders. We further apply SELs to flap endonuclease 1 (FEN1) - a disease related DNA-processing enzyme inaccessible to DELs - and discover potent inhibitors. Taken together, screening barcode-free libraries of this scale all at once represents an important development, enables access to novel target classes, and promises substantial impact on both academic and industrial early drug discovery.
Authors 15
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Edith van der Nol Aachen
Leiden University · Oncode Institute
Affiliation as printed
LACDR, Leiden University, Leiden, The Netherlands
Oncode Institute, Utrecht, The Netherlands
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Friedrich Schiller University Jena
Affiliation as printed
Chair for Bioinformatics, Institute for Computer Science, Friedrich Schiller University Jena, Jena, Germany
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Qingsong Gao Aachen
Affiliation as printed
LACDR, Leiden University, Leiden, The Netherlands
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Benthe A. M. Smit Aachen
Affiliation as printed
LACDR, Leiden University, Leiden, The Netherlands
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Affiliation as printed
Bright Giant GmbH, Hans-Knöll-Straße 6, Jena, Germany
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Affiliation as printed
Bright Giant GmbH, Hans-Knöll-Straße 6, Jena, Germany
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Affiliation as printed
Bright Giant GmbH, Hans-Knöll-Straße 6, Jena, Germany
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Sean M. McKenna Aachen
Leiden University · Oncode Institute
Affiliation as printed
LACDR, Leiden University, Leiden, The Netherlands
Oncode Institute, Utrecht, The Netherlands
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J. Miguel Mata Aachen
Leiden University · Oncode Institute
Affiliation as printed
LACDR, Leiden University, Leiden, The Netherlands
Oncode Institute, Utrecht, The Netherlands
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Olivier J. M. Béquignon Aachen
Affiliation as printed
LACDR, Leiden University, Leiden, The Netherlands
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Gerard J. P. van Westen Aachen
Affiliation as printed
LACDR, Leiden University, Leiden, The Netherlands
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Leiden University Medical Center · Oncode Institute
Affiliation as printed
Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
Oncode Institute, Utrecht, The Netherlands
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Leiden University Medical Center · Oncode Institute
Affiliation as printed
Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
Oncode Institute, Utrecht, The Netherlands
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Sebastian Böcker corresponding
Friedrich Schiller University Jena
Affiliation as printed
Chair for Bioinformatics, Institute for Computer Science, Friedrich Schiller University Jena, Jena, Germany. sebastian.boecker@uni-jena.de
Chair for Bioinformatics, Institute for Computer Science, Friedrich Schiller University Jena, Jena, Germany
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Leiden University · Oncode Institute
Affiliation as printed
LACDR, Leiden University, Leiden, The Netherlands. s.j.pomplun@lacdr.leidenuniv.nl
Oncode Institute, Utrecht, The Netherlands. s.j.pomplun@lacdr.leidenuniv.nl
LACDR, Leiden University, Leiden, The Netherlands
Oncode Institute, Utrecht, The Netherlands
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