ABSTRACT
DNA-encoded chemical libraries (DELs) have become a powerful technology platform in drug discovery. Dual-pharmacophore DELs display two sets of small molecules at the termini of DNA duplexes, thereby enabling the identification of synergistic binders against biological targets, and have been successfully applied in fragment-based ligand discovery and affinity maturation of known ligands. However, dual-pharmacophore DELs identify separate binders that require subsequent linking to obtain the full ligands, which is often challenging. Here we report a protein-templated DEL selection approach that can identify full ligand/inhibitor structures from DNA-encoded dynamic libraries (DEDLs) without the need for subsequent fragment linking. Our approach is based on dynamic DNA hybridization and target-templated in situ ligand synthesis, and it incorporates and encodes the linker structures in the library, along with the building blocks, to be sampled by the target protein. To demonstrate the performance of this method, 4.35-million- and 3.00-million-member DEDLs with different library architectures were prepared, and hit selection was achieved against four therapeutically relevant target proteins.
Subject(s)
DNA , Small Molecule Libraries , DNA/chemistry , Small Molecule Libraries/chemistry , Ligands , Proteins/metabolism , Nucleic Acid HybridizationABSTRACT
DNA-encoded chemical library (DEL) has emerged to be a powerful ligand screening technology in drug discovery. Recently, we reported a DNA-encoded dynamic library (DEDL) approach that combines the principle of traditional dynamic combinatorial library (DCL) with DEL. DEDL has shown excellent potential in fragment-based ligand discovery with a variety of protein targets. Here, we further tested the utility of DEDL in identifying low molecular weight fragments that are selective for different isoforms or domains of the same protein family. A 10,000-member DEDL was selected against sirtuin-1, 2, and 5 (SIRT1, 2, 5) and the BD1 and BD2 domains of bromodomain 4 (BRD4), respectively. Albeit with modest potency, a series of isoform/domain-selective fragments were identified and the corresponding inhibitors were derived by fragment linking.
Subject(s)
DNA/chemistry , Nuclear Proteins/antagonists & inhibitors , Sirtuin 1/antagonists & inhibitors , Small Molecule Libraries/pharmacology , Humans , Ligands , Molecular Structure , Nuclear Proteins/metabolism , Protein Domains/drug effects , Sirtuin 1/metabolism , Small Molecule Libraries/chemistryABSTRACT
DNA-encoded chemical library (DEL) has emerged as a powerful technology for ligand discovery in biomedical research. Recently, we have developed a DNA-encoded dynamic library (DEDL) approach by incorporating the concept of dynamic combinatorial library (DCL) with DELs. DEDL has shown excellent potential in ligand discovery towards a variety of protein targets. However, the requirement of having a pair of unnatural p-stilbazoles as the interstrand DNA crosslinker has limited the chemical diversity of DEDLs. Here, we replaced p-stilbazole with psoralen (PS) and tested the feasibility of psoralen as the crosslinker in DEDL selection. Since psoralen is commercially available and does not require any special crosslinking partner, existing DELs may be directly used to create high-diversity DEDLs. This study is expected to greatly facilitate the development of DEDLs as a versatile tool in drug discovery.
Subject(s)
Cross-Linking Reagents/chemistry , DNA/chemistry , Ficusin/chemistry , Small Molecule Libraries/chemistry , Combinatorial Chemistry Techniques , Cross-Linking Reagents/chemical synthesis , DNA/chemical synthesis , Drug Discovery , Ficusin/chemical synthesis , Photochemical Processes , Small Molecule Libraries/chemical synthesisABSTRACT
Dynamic combinatorial libraries (DCLs) is a powerful tool for ligand discovery in biomedical research; however, the application of DCLs has been hampered by their low diversity. Recently, the concept of DNA encoding has been employed in DCLs to create DNA-encoded dynamic libraries (DEDLs); however, all current DEDLs are limited to fragment identification, and a challenging process of fragment linking is required after selection. We report an anchor-directed DEDL approach that can identify full ligand structures from large-scale DEDLs. This method is also able to convert unbiased libraries into focused ones targeting specific protein classes. We demonstrated this method by selecting DEDLs against five proteins, and novel inhibitors were identified for all targets. Notably, several selective BD1/BD2 inhibitors were identified from the selections against bromodomain 4 (BRD4), an important anti-cancer drug target. This work may provide a broadly applicable method for inhibitor discovery.
