The design and screening of DNA-encoded glycan library (DEGL) plays a key role in the screening of inhibitors. For example, the discovery of inhibitors of RIPK1 and sEH was made possible by the rapid availability of a large number of compounds through DEL screening, and DELs can be constructed to target a specific chemical space to find tool compounds rather than just drug-like compounds. Library design is also very important in this, and the fact that the final candidate compounds are very similar to the initial ligands found in the DEL screen highlights the importance of library design. Compounds with potential drug-like properties can be obtained by designing DEL libraries and screening them and can be developed into clinical candidates through further optimization and development.
Fig.1 The chemical structures of the targeting RIPK1 (A) and sEH (B) from first discoveries from DEL screenings to the potential drugs after medicinal chemistry optimizations. (Ottl, et al., 2019)
The advent of DEL has revolutionized the field of chemical biology, enabling the High-throughput Screening of vast chemical space with unprecedented precision. Among these, DEGLs have emerged as a powerful tool for exploring carbohydrate biology, glycobiology, and glycomics. DEGLs integrate the specificity of glycan interactions with the versatility of DNA encoding, providing a robust platform for identifying glycan-binding proteins, elucidating carbohydrate-protein interactions, and discovering new glycan-based therapeutics. CD BioGlyco has a specialized platform to provide comprehensive DEGL design services from chemical, biological, and artificial intelligence (AI)-assisted perspectives.
We begin by thoroughly discussing the research objectives and requirements with the client. We then analyze the three-dimensional structural information of the target to identify potential binding sites and key interaction regions. After that, we select suitable building blocks, taking into account their physicochemical properties (PCPs) and structural diversity. Our experts assess whether the chosen chemistry and synthetic protocols are compatible with DNA barcoding, and develop specific synthetic routes in conjunction with known DNA-compatible chemistry and synthetic protocols. Using computer-aided drug design software, we design DEGLs containing building blocks of specific functional groups and conduct virtual screening to simulate compound-target interactions and binding affinities. Finally, AI tools are used to efficiently screen potentially active glycan molecules, reducing experimental time and resource consumption. The most promising candidate molecules are prioritized for experiments based on predicted biological activities and functions.
Technologies: DNA-encoded libraries (DEL), Peptide-encoded libraries (PDP)
Journal: Molecules
Published: 2019
IF: 4.2
Results: This article describes coding library techniques as integrated drug discovery platforms. Two of the commonly used coding library technologies are DEL and PDP. DEL is mainly used to search for low-molecular-weight ligands, which are suitable for finding compounds with drug-like properties, while PDP is mainly used to search for cyclic peptide ligands, which are suitable for finding hard-to-find targets, such as those against membrane proteins and protein interactions. Both coded library technologies can be used as tools in drug discovery programs for target validation, structure elucidation, assay development, and as starting points for medicinal chemistry.
Fig.2 Modeling the chemical space for identifying hits and positioning the encoded library technologies. (Ottl, et al., 2019)
CD BioGlyco combines advanced chemical synthesis, structural analysis, and AI technologies to design and build highly diverse libraries of glycoconjugates that will unravel complex biological interactions and discover potential drug targets for you! If you are interested in our service, please feel free to
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Our mission is to provide comprehensive solutions for glycan research, from library design and high-throughput screening to detailed data analysis and validation.