# Unraveling the Engagement of Kinases to CRBN Through a Shared Structural Motif to Optimize PROTACs Efficacy

**Authors:** Serena Rosignoli, Sara Giordani, Maddalena Pacelli, Giulia Guarguaglini, Alessandro Paiardini

PMC · DOI: 10.3390/biom15020206 · Biomolecules · 2025-02-01

## TL;DR

This paper explores how to improve the effectiveness of PROTACs by understanding how kinases interact with CRBN through a shared structural motif.

## Contribution

The paper introduces a computational approach to predict PROTAC efficacy based on kinase G-loop conformations and binding patterns.

## Key findings

- Kinases with distinct G-loop conformations influence PROTAC selectivity and degradation efficiency.
- Computational methods can predict ternary complex formation despite limited structural data.
- Identifying binding patterns enhances rational design of more effective PROTACs.

## Abstract

PROteolysis TArgeting Chimeras (PROTACs) offer a therapeutic modality for protein target engagement, exploiting the ubiquitin–proteasome system to achieve precise degradation of a protein of interest. Recent advancements in understanding the structural biology of the CRL4A E3 ligase complex, particularly its recruitment of neo-substrates through the G-loop motif, have provided valuable insights into the optimization of PROTAC efficacy. This perspective delves into the molecular determinants governing PROTAC selectivity and degradation efficiency, with a specific focus on kinases showing distinct G-loop conformations. By employing computational approaches to predict ternary complexes, along with the identification of binding patterns, it is possible to address limitations posed by structural data scarcity, thereby enhancing rational design strategies.

## Linked entities

- **Proteins:** CRBN (cereblon)

## Full-text entities

- **Genes:** CRBN (cereblon) [NCBI Gene 51185] {aka MRT2, MRT2A}

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11852972/full.md

## References

51 references — full list in the complete paper: https://tomesphere.com/paper/PMC11852972/full.md

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Source: https://tomesphere.com/paper/PMC11852972