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Activity-Based DNA-Encoded Library Screening for Selective Inhibitors of Eukaryotic Translation
Huda Barhoosh1, Anjali Dixit1, Wesley G Cochrane1
1Department of Pharmaceutical Sciences, University of California, Irvine, California 92697, United States.
ACS Central Science
|October 28, 2024
Summary
Researchers developed a new method using in vitro transcription-translation (IVTT) and DNA-encoded libraries (DEL) to discover small molecule probes for previously undruggable proteins. This platform enables scalable probe discovery across the human proteome.
Area of Science:
- Biochemistry
- Molecular Biology
- Drug Discovery
Background:
- Most human proteins lack druggable binding pockets, limiting small molecule probe development to ~2% of the proteome.
- Traditional high-throughput screening assays are often not feasible for many protein targets.
Purpose of the Study:
- To develop a universal screening assay for discovering small molecule probes targeting proteins with challenging or unknown functions.
- To circumvent limitations of canonical druggability and assay development.
Main Methods:
- Developed an in vitro transcription-translation (IVTT) activity assay by fusing reporter genes (e.g., GFP) to target sequences.
- Screened a 5,348-member DNA-encoded library (DEL) for translation inhibitors using microfluidic picoliter-scale droplets.
- Validated hits using a PCSK9-GFP reporter, including cellular assays and preliminary selectivity profiling.
Main Results:
- Identified multiple inhibitors of PCSK9-GFP IVTT, with the lead compound reducing PCSK9 levels in HepG2 cells.
- Demonstrated a plug-and-play approach by screening the DEL against diverse targets like RPL27, KRASG12D, MST1, and USO1.
- Achieved IC50 values between 1-20 μM for validated hits.
Conclusions:
- The microfluidic IVTT DEL screening platform offers a scalable solution for probe discovery against a wider range of protein targets.
- This approach significantly expands the potential for identifying chemical probes for the human proteome and beyond.
- Selective translation modulation provides a viable strategy for overcoming traditional drug discovery constraints.

