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 ~1 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 developed efficient, high-diversity synthesis protocols for a broad range of chemical scaffolds and benchmarked the platform in affinity selections against carbonic anhydrase IX, identifying multiple nanomolar binders. We further applied SELs to flap endonuclease 1 (FEN1) – a disease related DNA-processing enzyme inaccessible to DELs – and discovered potent inhibitors. Taken together, screening barcode-free libraries of this scale is unprecedented, enables access to novel target classes, and promises substantial impact on both academic and industrial early drug discovery.
Supplementary materials
Title
Supplementary Information
Description
Contains supplementary figures, material and methods as well as a detailed explanation of COMET and the AS-MS performed in the manuscript.
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Title
LC-MS traces
Description
LC-MS traces of the building blocks scope
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Supplementary weblinks
Title
COMET software
Description
COMET (Combinatorial Mass Encoding decoding Tool) is a java-based software framework for the analysis of LC-MS/MS data obtained from an affinity selection-mass spectrometry (AS-MS) workflow where self-encoded libraries were screened.
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Raw data for software development
Description
Raw and processed data used for software development and raw LC-MS/MS files
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