From binding to detox: A predictive framework for supramolecular drug capture by cucurbiturils

X Xiaohui Wang Z Zijing Wu (State Key Laboratory of Physical Chemistry of Solid Surfaces, Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry, and College of Chemistry and Chemical Engineering, Xiamen University 2 , Xiamen, Fujian 361005,) Z Zhihao Gong (Academy of Interdisciplinary Studies on Intelligent Molecules, Tianjin Key Laboratory of Structure and Performance for Functional Molecules, College of Chemistry, Tianjin Normal University 3 , Tianjin 300387,) D Danial Muhammad (Faculty of Synthetic Biology, Shenzhen University of Advanced Technology 1 , Shenzhen 518107,) B Baochuan Hu (School of Chemistry and Molecular Engineering, East China Normal University 5 , No. 500, Dongchuan Road, Shanghai 200241,) P Peifeng Su (The State Key Laboratory of Physical Chemistry of Solid Surfaces, Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry, and College of Chemistry and Chemical Engineering, Xiamen University , Xiamen, Fujian 361005,) Z Zhaoxi Sun (Faculty of Synthetic Biology and Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences 5 , Shenzhen,)

Abstract

The pumpkin-like supramolecular container Cucurbit[8]uril (CB8) is a promising drug carrier and detoxifier that stably coordinates a series of structurally diverse guests with high association constants. Its methylated form, Me4CB8, achieves better solubility yet maintains its biocompatibility, thus serving as a promising supramolecular container. Host–guest binding involving the methylated ring is difficult to model due to the lack of an accurate transferable force field and the complex binding-mode space when coordinating structurally complex abused drugs (e.g., fentanyl with multiple aromatic rings). In this work, we present a thorough characterization of cucurbituril host–guest coordinations in a batch of practical detoxification situations with enhanced sampling techniques in conjunction with the most accurate fixed-charge parameter set. An enhanced sampling technique is coupled with high-accuracy recalibrated force fields (B97-3c calculations for host and r2SCAN-3c for abused drugs, achieving a practical accuracy limit of fixed-charge modeling of host–guest systems). While the predicted binding thermodynamics agree with experimental values, additional all-atom insights into the multi-modal binding behavior and the nature of host–guest interactions that are absent in experimental measurements are characterized using a combination of force-field energetics and quantum mechanics-based energy decomposition analysis. Overall, this workflow provides a broadly applicable strategy for the mechanistic understanding of supramolecular detoxification systems and, more importantly, predictive modeling that enables the rational design of therapeutic carriers and antidotes.

Article Details

Volume / Issue Vol. 163, Issue 8
Published August 28, 2025
ISSN 0021-9606
Publisher American Institute of Physics

Journal Info

The Journal of Chemical Physics

American Institute of Physics

ISSN: 0021-9606 Physical Sciences

Authors (7)

X

Xiaohui Wang

Z

Zijing Wu

State Key Laboratory of Physical Chemistry of Solid Surfaces, Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry, and College of Chemistry and Chemical Engineering, Xiamen University 2 , Xiamen, Fujian 361005,

Z

Zhihao Gong

Academy of Interdisciplinary Studies on Intelligent Molecules, Tianjin Key Laboratory of Structure and Performance for Functional Molecules, College of Chemistry, Tianjin Normal University 3 , Tianjin 300387,

D

Danial Muhammad

Faculty of Synthetic Biology, Shenzhen University of Advanced Technology 1 , Shenzhen 518107,

B

Baochuan Hu

School of Chemistry and Molecular Engineering, East China Normal University 5 , No. 500, Dongchuan Road, Shanghai 200241,

P

Peifeng Su

The State Key Laboratory of Physical Chemistry of Solid Surfaces, Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry, and College of Chemistry and Chemical Engineering, Xiamen University , Xiamen, Fujian 361005,

Z

Zhaoxi Sun

Faculty of Synthetic Biology and Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences 5 , Shenzhen,