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Rationalizing PROTAC-Mediated Ternary Complex Formation Using Rosetta.

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  • 1Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia, Pennsylvania 19111, United States.

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|February 24, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a computational method to predict how well Proteolysis-targeting chimaeras (PROTACs) form productive ternary complexes. The structure-based approach guides PROTAC design, reducing trial-and-error in developing targeted protein degraders.

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Area of Science:

  • Biochemistry
  • Computational Chemistry
  • Drug Discovery

Background:

  • Proteolysis-targeting chimaeras (PROTACs) induce targeted protein degradation by forming a ternary complex between a target protein and an E3 ligase.
  • PROTAC development often involves extensive empirical optimization of the chemical linker connecting the target-binding warhead and E3 ligase ligand.
  • Predicting linker suitability for productive ternary complex formation remains a challenge.

Purpose of the Study:

  • To develop and validate a structure-based computational method for evaluating PROTAC linker suitability.
  • To assess the role of ternary complex formation in PROTAC activity and selectivity.
  • To provide computational tools and models for broader PROTAC research.

Main Methods:

  • Utilized Rosetta software for docking protein components and modeling PROTAC assembly within the ternary complex.
  • Refined complete models of the ternary complex structures.
  • Retrospectively applied the method to analyze existing PROTACs from literature across diverse target proteins.

Main Results:

  • The computational method sufficiently explains reported PROTAC activity and selectivity, suggesting ternary complex formation is a key determinant.
  • PROTAC activity interpretation benefits from considering an ensemble of ternary complex structures, not just a single conformation.
  • Identified that PROTACs can recruit proteins within a conserved family via distinct binding modes.

Conclusions:

  • A structure-based computational approach can effectively guide PROTAC design by predicting ternary complex formation.
  • This method aids in understanding and optimizing PROTAC efficacy and selectivity.
  • Dissemination of methods and models aims to accelerate the development of PROTAC therapeutics and chemical probes.