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In contrast to standard fragment-based drug discovery approaches, dual-display DNA-encoded chemical libraries have the potential to identify fragment pairs that bind simultaneously and benefit from the chelate effect. However, the technology has been limited by the difficulty in unambiguously decoding the ligand pairs from large combinatorial libraries. Here we report a strategy that overcomes this limitation and enables the efficient identification of ligand pairs that bind to a target protein. Small organic molecules were conjugated to the 5′ and 3′ ends of complementary DNA strands that contain a unique identifying code. DNA hybridization followed by an inter-strand code-transfer created a stable dual-display DNA-encoded chemical library of 111,100 members. Using this approach we report the discovery of a low micromolar binder to alpha-1-acid glycoprotein and the affinity maturation of a ligand to carbonic anhydrase IX, an established marker of renal cell carcinoma. The newly discovered subnanomolar carbonic anhydrase IX binder dramatically improved tumour targeting performance in vivo . A method to identify pairs of ligands that simultaneously bind to a target protein has been developed. The method uses two DNA-encoded chemical sub-libraries that self-assemble to form stable dual-display structures, and an encoding system that can be decoded by DNA sequencing and enables both ligands to be identified.

This protocol describes an approach for screening DNA-encoded chemical libraries (DECLs) to identify molecules that bind to proteins of interest. After isolating binding library members, DNA barcodes are amplified and identified by high-throughput sequencing. DNA-encoded chemical libraries (DECLs) are collections of organic compounds that are individually linked to different oligonucleotides, serving as amplifiable identification barcodes. As all compounds in the library can be identified by their DNA tags, they can be mixed and used in affinity-capture experiments on target proteins of interest. In this protocol, we describe the screening process that allows the identification of the few binding molecules within the multiplicity of library members. First, the automated affinity selection process physically isolates binding library members. Second, the DNA codes of the isolated binders are PCR-amplified and subjected to high-throughput DNA sequencing. Third, the obtained sequencing data are evaluated using a C++ program and the results are displayed using MATLAB software. The resulting selection fingerprints facilitate the discrimination of binding from nonbinding library members. The described procedures allow the identification of small organic ligands to biological targets from a DECL within 10 d.