Data-Driven Generation of Conformational Ensembles and Ternary Complexes for PROTAC and Other Chimera Systems

We present the protolysis-targeting chimera (PROTAC) Conformer Generator, a fast and knowledge-based tool for generating robust conformational ensembles of PROTACs and other chimeric degraders. The modeling protocol integrates conformer generation, rigid-body ternary complex (TC) assembly, and conformational sampling strategies that address the inherent flexibility and complexity of these molecules. Each modeled TC is evaluated using a clash-score and a surface-score, designed to prioritize sterically and geometrically plausible models with favorable protein surface interactions. The protocol was validated using experimentally determined PROTAC-mediated TC structures from the Protein Data Bank and "PROTAC-like" structures from the Cambridge Structural Database, demonstrating accuracy across diverse systems. The results show that the PROTAC Conformer Generator can reliably reproduce experimental conformations and generate simple TC models that recapitulate the relative orientations between E3 ubiquitin ligase and the protein of interest as observed in protein crystal structures. This robust validation supports the method's reliability and establishes a reference framework for degrader modeling studies. The PROTAC Conformer Generator provides a structured and validated workflow for modeling and assessing degrader conformations and ternary complexes, enabling rapid ensemble generation and downstream integration into relevant early stage drug design pipelines.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2025-09-05
DOI
https://doi.org/10.1021/acs.jcim.5c00880
Primary Topic
Protein Degradation and Inhibitors
Type
article
Field-Weighted Citation Impact
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article

Data-Driven Generation of Conformational Ensembles and Ternary Complexes for PROTAC and Other Chimera Systems

Laura Friggeri, Jason C. Cole, Patrick McCabe, Fabio Montisci et al.
Journal of Chemical Information and Modeling
Protein Degradation and Inhibitors
article

Data-Driven Generation of Conformational Ensembles and Ternary Complexes for PROTAC and Other Chimera Systems

Laura Friggeri, Jason C. Cole, Patrick McCabe, Fabio Montisci, Bojana Popovic, Kepa K. Burusco-Goni
article en

Abstract

We present the protolysis-targeting chimera (PROTAC) Conformer Generator, a fast and knowledge-based tool for generating robust conformational ensembles of PROTACs and other chimeric degraders. The modeling protocol integrates conformer generation, rigid-body ternary complex (TC) assembly, and conformational sampling strategies that address the inherent flexibility and complexity of these molecules. Each modeled TC is evaluated using a clash-score and a surface-score, designed to prioritize sterically and geometrically plausible models with favorable protein surface interactions. The protocol was validated using experimentally determined PROTAC-mediated TC structures from the Protein Data Bank and "PROTAC-like" structures from the Cambridge Structural Database, demonstrating accuracy across diverse systems. The results show that the PROTAC Conformer Generator can reliably reproduce experimental conformations and generate simple TC models that recapitulate the relative orientations between E3 ubiquitin ligase and the protein of interest as observed in protein crystal structures. This robust validation supports the method's reliability and establishes a reference framework for degrader modeling studies. The PROTAC Conformer Generator provides a structured and validated workflow for modeling and assessing degrader conformations and ternary complexes, enabling rapid ensemble generation and downstream integration into relevant early stage drug design pipelines.

Journal of Chemical Information and ModelingVol. 65(18)
Cambridge Crystallographic Data Centre (GB)
Openalex Percentile: Top 79%
Protein Degradation and Inhibitors
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