ArticleNature communications2025
Frustration in the protein-protein interface plays a central role in the cooperativity of PROTAC ternary complexes.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- DesignMaster: a multi-conditional diffusion framework for rational PROTAC design.Bioinformatics (Oxford, England) · 2026Article
- Pocket-PROTACs: an interpretable pocket-aware deep learning framework for predicting PROTAC-induced protein degradation.Bioinformatics (Oxford, England) · 2026Article
- COMPASS: A Computational Pipeline to Identify Linkers Predicting Ubiquitinable PROTAC-Induced Ternary Complexes.ChemMedChem · 2026Article
- Computational mapping of productive POI-E3 ligase conformations to guide de novo degrader design: application to WEE1 and PKMYT1 PROTACs.Journal of cheminformatics · 2026Article
- On the Scope of DCAF1-Recruiting PROTACs Degrading Protein Kinases.Journal of medicinal chemistry · 2026Article
- How to frustrate a plant pathogen.The Plant journal : for cell and molecular biology · 2026Review
- Screening for novel chemical scaffolds targeting PCNA identifies the Hsp90alpha inhibitor SNX-2112.Current research in structural biology · 2026Article
- Metastable Protein-Protein Interactions as a Design Principle for PROTACs: Insights from the RIPK1-VHL System.JACS Au · 2026Article
- Mechanisms of Binding and Immune Escape Resistance for Broadly Neutralizing Antibodies Targeting Distinct Conserved SARS-CoV-2 Spike Epitopes: A Hierarchical Approach Integrating Mutational Profiling and Energy Landscape Analysis.International journal of molecular sciences · 2026Article
- Frustration Landscapes of Broadly Neutralizing SARS-CoV-2 Spike Antibodies Targeting Conserved Epitopes Reveal Energetic Logic of Escape-Proof and Escape-Prone Mechanisms.bioRxiv : the preprint server for biology · 2026Article
- Computational Modeling of PROTAC Ternary Complexes as Ensembles Using SILCS-xTAC.Journal of chemical information and modeling · 2026Article
- In Silico Analysis of Potential Stabilizer Binding Sites at Protein-RNA Interfaces.Computational and structural biotechnology journal · 2026Article
- Research progress and future perspectives in proteolysis-targeting chimeras.Frontiers in pharmacology · 2026Review
- Neutral Frustration Landscape Architecture of SARS-CoV-2 Spike-Antibody Interfaces Shapes Immune Evasion Mechanisms for Ultrapotent Neutralizing Antibodies and Determines Pathways of Viral Adaptation: Insights from Integrative Computational Approach.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Targeted protein degradation using proteolysis-targeting chimeras (PROTACs) offers a promising strategy to eliminate previously undruggable proteins. PROTACs are bifunctional molecules that link a target protein with an E3 ubiquitin ligase, enabling the formation of a ternary complex that promotes ubiquitination and subsequent proteasomal degradation. Although many ternary complex structures are available, understanding how structural features relate to PROTAC function remains challenging due to the dynamic nature of these complexes. Here we show that the interface between the target protein SMARCA2 and the E3 ligase VHL is conformationally flexible and stabilized by interactions involving disordered loops. Using molecular dynamics simulations and X-ray crystallography of SMARCA2-VHL complexes bound to five different PROTACs, we find that interfacial residues often adopt energetically suboptimal, or 'frustrated,' configurations. We further show that the degree of frustration correlates with experimentally measured cooperativity for a set of 11 PROTACs. These findings suggest that quantifying interface frustration provides a rational, structure-based approach to guiding PROTAC design.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.