Biocatalytic- and Chemoproteomic-Guided Discovery of a PHGDH Inhibitor from Chemoenzymatic-Promoted DNA-Encoded Libraries Selection Platform

DNA-encoded libraries (DELs) have emerged as an effective and efficient selection strategy for lead compound discovery in academia and industry over the past few decades. Despite recent advancements in this field, DEL remains limited by sensitive DNA-based constructs, particularly with low selection success rates resulting from the random selection of targets. Here, we describe a chemoenzymatic on-DNA reaction for DEL syntheses and develop a chemoproteomic-guided DEL selection platform. This platform, termed FF tags-biocatDEL, integrates DEL technology, chemoenzymatic synthesis, and fully functionalized (FF) chemical tags to match DELs with selection targets, even with limited information about ligandable hotspots. Using two diazirine-based FF indole probes, we comprehensively surveyed binding partners in cells and identified phosphoglycerate dehydrogenase (PHGDH) as a potential target for DEL selection. DEL01 and DEL02 were designed, synthesized, and selected against PHGDH, leading to the identification of a novel enzyme-active compound with an IC<sub>50</sub> value of 2.5 μM. Our strategy, utilizing FF tags-biocatDEL, establishes a generalizable workflow for rapid target hunting and ligand discovery. It provides an effective method for precisely matching DELs with potential targets, demonstrating its significant potential as a complementary approach to drug discovery based on DELs.

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Journal
Journal of the American Chemical Society
Published
2025-11-20
DOI
https://doi.org/10.1021/jacs.5c14634
Citations
1
Primary Topic
Click Chemistry and Applications
Type
article
Field-Weighted Citation Impact
0.94
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article

Biocatalytic- and Chemoproteomic-Guided Discovery of a PHGDH Inhibitor from Chemoenzymatic-Promoted DNA-Encoded Libraries Selection Platform

Cangsong Liao, Lingrui Zhang, Xudong Wang, Xiaojie Lu et al.
1 citations
Journal of the American Chemical Society
Click Chemistry and Applications
0.94
article

Biocatalytic- and Chemoproteomic-Guided Discovery of a PHGDH Inhibitor from Chemoenzymatic-Promoted DNA-Encoded Libraries Selection Platform

Cangsong Liao, Lingrui Zhang, Xudong Wang, Xiaojie Lu, Lu Zhou, Lei Feng, Yueyue Xia, Zhiqiang Duan, Xinyuan Wu, Yi Lan, Minjia Tan, Rufeng Fan, Yiwei Zhang, Guoliang Wang, Liangyuan Wen
article en
1 citations

Abstract

DNA-encoded libraries (DELs) have emerged as an effective and efficient selection strategy for lead compound discovery in academia and industry over the past few decades. Despite recent advancements in this field, DEL remains limited by sensitive DNA-based constructs, particularly with low selection success rates resulting from the random selection of targets. Here, we describe a chemoenzymatic on-DNA reaction for DEL syntheses and develop a chemoproteomic-guided DEL selection platform. This platform, termed FF tags-biocatDEL, integrates DEL technology, chemoenzymatic synthesis, and fully functionalized (FF) chemical tags to match DELs with selection targets, even with limited information about ligandable hotspots. Using two diazirine-based FF indole probes, we comprehensively surveyed binding partners in cells and identified phosphoglycerate dehydrogenase (PHGDH) as a potential target for DEL selection. DEL01 and DEL02 were designed, synthesized, and selected against PHGDH, leading to the identification of a novel enzyme-active compound with an IC<sub>50</sub> value of 2.5 μM. Our strategy, utilizing FF tags-biocatDEL, establishes a generalizable workflow for rapid target hunting and ligand discovery. It provides an effective method for precisely matching DELs with potential targets, demonstrating its significant potential as a complementary approach to drug discovery based on DELs.

Journal of the American Chemical SocietyVol. 147(48)
Tianjin University of Traditional Chinese Medicine (CN), Nanjing University of Chinese Medicine (CN), Chinese Academy of Sciences (CN), Fudan University (CN), Shanghai Institute of Materia Medica (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 20%
Click Chemistry and Applications
0.94
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