Modeling the CRL4A ligase complex to predict target protein ubiquitination induced by cereblon-recruiting PROTACs

Nan Bai1, Kristin M Riching2, Aman Makaju3

  • 1Pharmacokinetics and Drug Metabolism, Amgen Research, South San Francisco, California, USA.

Insights

PROteolysis Targeting Chimeras (PROTACs) enhance protein degradation by forming ternary complexes. This study introduces a computational method to predict PROTAC-induced ubiquitination, a key step in target protein degradation.

Area of Science:

  • Biochemistry
  • Computational Biology
  • Drug Discovery

Background:

  • PROteolysis TArgeting Chimeras (PROTACs) are bifunctional molecules that induce target protein degradation via the Ubiquitin-Proteasome System (UPS).
  • While PROTACs offer advantages for targeting undruggable proteins, the ubiquitination step in PROTAC-induced Target Protein Degradation (TPD) can be rate-limiting.
  • Computational methods are emerging to predict ternary complex formation, but predicting ubiquitination efficiency remains a challenge.

Purpose of the Study:

  • To develop and validate a structure-based computational approach for predicting target protein ubiquitination induced by cereblon (CRBN)-based PROTACs.
  • To link PROTAC-induced ternary complex formation with subsequent ubiquitination events.
  • To predict ubiquitination efficiencies and identify ubiquitination sites for specific targets.

Main Methods:

  • Generated ternary complex ensembles using Rosetta and modeled CRL4A ligase complex conformations.
  • Predicted ubiquitination efficiency by classifying ternary complexes as productive or unproductive based on ubiquitin proximity to target lysines.
  • Validated models using published ternary complex structures and a NanoBRET ubiquitination assay.

Main Results:

  • The computational approach successfully predicted ubiquitination efficiencies and sites for cyclin-dependent kinases (CDKs) treated with a pan-kinase PROTAC (TL12-186).
  • Predictions correlated well with experimental ubiquitination data and site-directed mutagenesis results.
  • The study structurally links PROTAC ternary complex formation to ubiquitination outcomes.

Conclusions:

  • The developed structure-based computational method provides a novel way to predict PROTAC-induced target protein ubiquitination.
  • This approach advances the understanding of TPD mechanisms and aids in predicting target "degradability".
  • It represents a significant step towards rational PROTAC design and optimization.

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