Evaluation of the Topology Space of DNA-Encoded Libraries

The Furan-Thiol-Amine Reaction Facilitates DNA-Compatible Thiopyrrole-Grafted Macrocyclization and Late-Stage Amine Transformation

We here report an efficient DNA-compatible furan-thiol-amine reaction for macrocyclization and late-stage amine transformation. This reaction, conducted under mild conditions, enables the facile cyclization of DNA-conjugated linear peptides into thiopyrrole-grafted macrocycles regardless of ring size or side-chain modification with good to excellent conversion yields. Additionally, this strategy was employed for the late-stage transformation of terminal amines, serving as critical intermediates in the construction of DNA-encoded peptide libraries. Diverse amines were successfully converted into their corresponding thiopyrrole scaffolds, thereby expanding the structural diversity that can be achieved within DNA-encoded libraries.

On-DNA Three-Component Cycloaddition of Diazo Compounds, Nitrosoarenes, and Alkenes: Syntheses of Isoxazolidines for DNA-Encoded Chemical Libraries

A DNA-compatible three-component reaction is disclosed for the synthesis of on-DNA polysubstituted isoxazolidines that serve as privileged core scaffolds in numerous natural products and bioactive molecules. This one-pot approach involves the 1,3-dipolar cycloaddition of DNA-tagged styrenes with diazo compounds and nitrosoarenes in an aqueous solution of KOAc. The reaction demonstrates excellent functional group compatibility, providing a conventional protocol for the construction of a DNA-labeled isoxazolidine library.

Challenges and Prospects of DNA-Encoded Library Data Interpretation

DNA-encoded library (DEL) technology is a powerful platform for the efficient identification of novel chemical matter in the early drug discovery process enabled by parallel screening of vast libraries of encoded small molecules through affinity selection and deep sequencing. While DEL selections provide rich data sets for computational drug discovery, the underlying technical factors influencing DEL data remain incompletely understood. This review systematically examines the key parameters affecting the chemical information in DEL data and their impact on hit triaging and machine learning integration. The need for rigorous data handling and interpretation is emphasized, with standardized methods being critical for the success of DEL-based approaches. Major challenges include the relationship between sequence counts and binding affinities, frequent hitters, and the influence of factors such as inhomogeneous library composition, DNA damage, and linkers on binding modes. Experimental artifacts, such as those caused by protein immobilization and screening matrix effects, further complicate data interpretation. Recent advancements in using machine learning to denoise DEL data and predict drug candidates are highlighted. This review offers practical guidance on adopting best practices for integrating robust methodologies, comprehensive data analysis, and computational tools to improve the accuracy and efficacy of DEL-driven hit discovery.

Synthesis of Diacylhydrazine Derivatives Based on Tetrazole-Focused DNA-Encoded Library

Utilizing already existing DNA-encoded libraries (DELs) for the generation of a distinct DEL represents an expedited strategy for expanding the chemical space. Herein, we leverage the unique photoreactivity of tetrazoles to synthesize diacylhydrazines on DNA. Widely available carboxylic acids serving as building blocks were employed under the mild photomediated reaction conditions, affording diverse DNA-conjugated diacylhydrazines. This methodology also demonstrates robustness in DEL-compatible synthesis and facilitates the preparation of oligonucleotide-based chemical probes.