Rationalize the Functional Roles of Protein–Protein Interactions in Targeted Protein Degradation by Kinetic Monte Carlo Simulations

Targeted protein degradation is a promising therapeutic strategy to tackle disease-causing proteins that lack binding pockets for traditional small-molecule inhibitors. Its first step is to trigger the proximity between a ubiquitin ligase complex and a target protein through a heterobifunctional molecule, such as proteolysis targeting chimeras (PROTACs), leading to the formation of a ternary complex. The properties of protein-protein interactions play an important regulatory role during this process, which can be reflected by binding cooperativity. Unfortunately, although computer-aided drug design has become a cornerstone of modern drug development, the endeavor to model-targeted protein degradation is still in its infancy. The development of computational tools to understand the impacts of protein-protein interactions on targeted protein degradation, therefore, is highly demanded. To reach this goal, we constructed a nonredundant structural benchmark of the most updated ternary complexes and applied a kinetic Monte Carlo method to simulate the association between ligases and PROTAC-targeted proteins in the benchmark. Our results show that proteins in most complexes with positive cooperativity tend to associate into native-like configurations more often. In contrast, proteins very likely failed to associate into native-like configurations in complexes with negative cooperativity. Moreover, we compared protein-protein association through different interfaces generated from molecular docking. The native-like binding interface shows a higher association probability than all the other alternative interfaces only in the complex with positive cooperativity. These observations support the idea that the formation of ternary complexes is closely regulated by the binary interactions between proteins. Finally, we applied our method to cyclin-dependent kinases 4 and 6 (CDK4/6). We found that their interactions with the ligase are not as similar as their structures. Altogether, our study paves the way for understanding the role of protein-protein interactions in the PROTAC-induced ternary complex formation. It can potentially help in searching for degraders that selectively target specific proteins.

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Publication Details

Journal
The Journal of Physical Chemistry B
Published
2024-11-29
DOI
https://doi.org/10.1021/acs.jpcb.4c06497
Citations
2
Primary Topic
Protein Degradation and Inhibitors
Type
article
Field-Weighted Citation Impact
0.47

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article

Rationalize the Functional Roles of Protein–Protein Interactions in Targeted Protein Degradation by Kinetic Monte Carlo Simulations

Yinghao Wu, Siyao Yin, Zhaoqian Su
2 citations
The Journal of Physical Chemistry B
Protein Degradation and Inhibitors
0.47
article

Rationalize the Functional Roles of Protein–Protein Interactions in Targeted Protein Degradation by Kinetic Monte Carlo Simulations

Yinghao Wu, Siyao Yin, Zhaoqian Su
article en
2 citations

Abstract

Targeted protein degradation is a promising therapeutic strategy to tackle disease-causing proteins that lack binding pockets for traditional small-molecule inhibitors. Its first step is to trigger the proximity between a ubiquitin ligase complex and a target protein through a heterobifunctional molecule, such as proteolysis targeting chimeras (PROTACs), leading to the formation of a ternary complex. The properties of protein-protein interactions play an important regulatory role during this process, which can be reflected by binding cooperativity. Unfortunately, although computer-aided drug design has become a cornerstone of modern drug development, the endeavor to model-targeted protein degradation is still in its infancy. The development of computational tools to understand the impacts of protein-protein interactions on targeted protein degradation, therefore, is highly demanded. To reach this goal, we constructed a nonredundant structural benchmark of the most updated ternary complexes and applied a kinetic Monte Carlo method to simulate the association between ligases and PROTAC-targeted proteins in the benchmark. Our results show that proteins in most complexes with positive cooperativity tend to associate into native-like configurations more often. In contrast, proteins very likely failed to associate into native-like configurations in complexes with negative cooperativity. Moreover, we compared protein-protein association through different interfaces generated from molecular docking. The native-like binding interface shows a higher association probability than all the other alternative interfaces only in the complex with positive cooperativity. These observations support the idea that the formation of ternary complexes is closely regulated by the binary interactions between proteins. Finally, we applied our method to cyclin-dependent kinases 4 and 6 (CDK4/6). We found that their interactions with the ligase are not as similar as their structures. Altogether, our study paves the way for understanding the role of protein-protein interactions in the PROTAC-induced ternary complex formation. It can potentially help in searching for degraders that selectively target specific proteins.

The Journal of Physical Chemistry BVol. 128(49)
Albert Einstein College of Medicine (US), Vanderbilt University (US)
Albert Einstein College of Medicine, Yeshiva University, National Institute of General Medical Sciences
Zero hunger
Openalex Percentile: Top 34%
Protein Degradation and Inhibitors
0.47
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