Linker-Driven Sampling of PROTAC-Induced Ternary Complexes
Hongtao Zhao1, Stefan Schiesser1, Christian Tyrchan1
1Biopharma Chemistry, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg 43183, Sweden.
Journal of Medicinal Chemistry
|June 3, 2026
Summary
This study introduces TERNIFY, a computational method for modeling ternary complexes crucial for Proteolysis-Targeting Chimeras (PROTACs) drug design. The software efficiently predicts complex structures, aiding in the development of novel therapeutics.
Area of Science:
- Biochemistry
- Computational Chemistry
- Drug Discovery
Background:
- Proteolysis-targeting chimeras (PROTACs) are heterobifunctional molecules inducing targeted protein degradation.
- Formation of the ternary complex (PROTAC-E3 ligase-protein of interest) is critical for PROTAC efficacy.
- Structural understanding of ternary complexes is vital for rational PROTAC design.
Purpose of the Study:
- To develop and validate a computational approach for sampling PROTAC-induced ternary complexes.
- To create an open-source software tool, TERNIFY, for streamlined ternary complex modeling.
Main Methods:
- A computational method reducing search space to linker conformational degrees of freedom.
- Validation using 40 cocrystal ternary complex structures.
- Testing with unbound protein structures for WDR5-PROTAC-VHL complexes.
Main Results:
- Achieved 97% and 50% retrospective success rates at Cα-RMSD thresholds of 10 and 4 Å, respectively.
- Predicted ternary complexes were within 7 Å of experimental structures for WDR5-PROTAC-VHL complexes.
- TERNIFY enables standalone ternary complex modeling without separate docking steps.
Conclusions:
- The computational approach effectively samples PROTAC-induced ternary complexes.
- TERNIFY provides an efficient, integrated workflow for ternary complex modeling.
- This tool facilitates rational PROTAC design and accelerates therapeutic development.
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