A Target Class Ligandability Evaluation of WD40 Repeat-Containing Proteins
- J Med Chem. 2024 Nov 4. doi: 10.1021/acs.jmedchem.4c02010.
- 1. Structural Genomics Consortium, University of Toronto, 101 College St., Toronto, ON M5G 1L7, Canada.
- 2. Google, 1600 Amphitheatre Parkway, Mountain View, California 94043, United States.
- 3. ZebiAI Inc., 100 Beaver St., Waltham, Massachusetts 02435, United States.
- 4. X-Chem Inc., 100 Beaver St., Waltham, Massachusetts 02435, United States.
- 5. Relay Therapeutics, 399 Binney St., Cambridge, Massachusetts 02139, United States.
- 6. Princess Margaret Cancer Centre, University of Toronto, Toronto, ON M5G 2M9, Canada.
- 7. Department of Chemistry, York University, Toronto, ON M3J 1P3, Canada.
- 8. Department of Chemistry, University of Toronto, Toronto, ON M5S 3H6, Canada.
- 9. Civetta Therapeutics, 10 Wilson Rd., Cambridge, Massachusetts 02138, United States.
- 10. Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON M5S 1A8, Canada.
Target class-focused drug discovery has a strong track record in pharmaceutical research, yet public domain data indicate that many members of protein families remain unliganded. Here we present a systematic approach to scale up the discovery and characterization of small molecule ligands for the WD40 repeat (WDR) protein family. We developed a comprehensive suite of protocols for protein production, crystallography, and biophysical, biochemical, and cellular assays. A pilot hit-finding campaign using DNA-encoded chemical library selection followed by machine learning (DEL-ML) to predict ligands from virtual libraries yielded first-in-class, drug-like ligands for 7 of the 16 WDR domains screened, thus demonstrating the broader ligandability of WDRs. This study establishes a template for evaluation of protein family wide ligandability and provides an extensive resource of WDR protein biochemical and chemical tools, knowledge, and protocols to discover potential therapeutics for this highly disease-relevant, but underexplored target class.