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Mikhail Ignatov1,2, Akhil Jindal1,2, Sergei Kotelnikov1,2

  • 1Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, United States.

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|March 24, 2023
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Summary
This summary is machine-generated.

We developed a computational method to accurately model PROTAC ternary complexes. This approach predicts PROTAC degradation activity by analyzing E3 ligase-target protein interactions and linker conformations.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Chemistry

Background:

  • PROteolysis-TArgeting Chimeras (PROTACs) are heterobifunctional molecules that induce targeted protein degradation.
  • PROTACs function by forming a ternary complex between an E3 ligase, the target protein, and the PROTAC molecule.
  • Accurate structural modeling of these ternary complexes is crucial for understanding PROTAC mechanisms and designing new therapeutics.

Purpose of the Study:

  • To present a novel computational method for generating high-accuracy structural models of E3 ligase-PROTAC-target protein ternary complexes.
  • To validate the predictive accuracy of the developed computational method using known PROTAC structures and a blind test case.
  • To elucidate the relationship between ternary complex structure, stability, and PROTAC-mediated protein degradation.

Main Methods:

  • Development of a computational approach incorporating a "silent" convolution term into protein-protein docking to filter poses based on linker conformation.
  • Implementation of a clustering algorithm for models of multiple PROTACs targeting the same protein with the same E3 ligase.
  • Application of the method to known PROTAC structures and a blind test case involving BRAF mutant V600E.

Main Results:

  • The largest consensus clusters derived from the computational method consistently demonstrated high predictive accuracy for ternary complex structures.
  • The ensemble of predicted models accurately predicted the dissociation rate and cooperativity of ternary complexes.
  • The study confirmed that PROTACs stabilize favorable E3 ligase-target protein interactions, but not necessarily the most energetically favorable protein-protein geometry.

Conclusions:

  • The developed computational method enables accurate structural modeling of PROTAC ternary complexes, aiding in PROTAC design and optimization.
  • The findings highlight the importance of linker conformation and ternary complex stability in PROTAC efficacy.
  • This approach provides valuable insights into the mechanism of action of PROTACs and their potential as therapeutic agents.