Designing Catalysts to Accelerate a Protein–Peptide Assembly-Reaction Cascade

A biological system is rich in dynamic biomolecular assembly reaction cascades mediated by enzymes and molecular chaperones, as represented by the formation of the "chain-mail-like" bacteriophage HK97 capsid that involves sequential events of chaperone-assisted assembly and cross-linking reactions. To shed light on such catalyzed assembly processes, we report an artificial protein-peptide "assembly-reaction" cascade that can be accelerated by rationally designed catalysts. The cascade is inhibited by a tethered SpyTag mutant that blocks SpyCatcher from the subsequent reactions. A designed fusion of calmodulin and sortase can promote the cascade by first binding with M13 at the loop between the SpyTag mutant and SpyCatcher to open the gating via a coil-helix transition. After the SpyTag-SpyCatcher reaction, the catalyst is regenerated by sortase-mediated cyclization that restores the constrained M13 conformation at the loop to release the bounded calmodulin. In the presence of 0.1 equiv of catalyst, the process can be accelerated, increasing the initial rate by ∼12-fold and reducing the half-life by ∼17-fold. With experimentally measured kinetic parameters, we simulated this system through microkinetic modeling, illustrated the contributions of each parameter, and proposed conditions for optimal catalytic performance. As a prototype of artificial catalyzed supramolecular "assembly-reaction" cascades, this work is reminiscent of those catalyzed cascades in nature. Their common features reveal similar underlying physiochemical principles and suggest new avenues to understand and interfere with biological systems.

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Publication Details

Journal
ACS Central Science
Published
2025-06-16
DOI
https://doi.org/10.1021/acscentsci.5c00481
Citations
5
Primary Topic
Chemical Synthesis and Analysis
Type
article
Field-Weighted Citation Impact
4.03

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article

Designing Catalysts to Accelerate a Protein–Peptide Assembly-Reaction Cascade

Zhi‐Chao Lei, Hanyu Gao, Fengyi Jiang, Yajie Liu et al.
5 citations
ACS Central Science
Chemical Synthesis and Analysis
4.03
article

Designing Catalysts to Accelerate a Protein–Peptide Assembly-Reaction Cascade

Zhi‐Chao Lei, Hanyu Gao, Fengyi Jiang, Yajie Liu, Wenbin Zhang, Yibin Sun, Yue Fang
article en
5 citations

Abstract

A biological system is rich in dynamic biomolecular assembly reaction cascades mediated by enzymes and molecular chaperones, as represented by the formation of the "chain-mail-like" bacteriophage HK97 capsid that involves sequential events of chaperone-assisted assembly and cross-linking reactions. To shed light on such catalyzed assembly processes, we report an artificial protein-peptide "assembly-reaction" cascade that can be accelerated by rationally designed catalysts. The cascade is inhibited by a tethered SpyTag mutant that blocks SpyCatcher from the subsequent reactions. A designed fusion of calmodulin and sortase can promote the cascade by first binding with M13 at the loop between the SpyTag mutant and SpyCatcher to open the gating via a coil-helix transition. After the SpyTag-SpyCatcher reaction, the catalyst is regenerated by sortase-mediated cyclization that restores the constrained M13 conformation at the loop to release the bounded calmodulin. In the presence of 0.1 equiv of catalyst, the process can be accelerated, increasing the initial rate by ∼12-fold and reducing the half-life by ∼17-fold. With experimentally measured kinetic parameters, we simulated this system through microkinetic modeling, illustrated the contributions of each parameter, and proposed conditions for optimal catalytic performance. As a prototype of artificial catalyzed supramolecular "assembly-reaction" cascades, this work is reminiscent of those catalyzed cascades in nature. Their common features reveal similar underlying physiochemical principles and suggest new avenues to understand and interfere with biological systems.

ACS Central ScienceVol. 11(7)
Hong Kong University of Science and Technology (HK), Peking University (CN), Ingenierie des Materiaux polymeres (FR), Beijing National Laboratory for Molecular Sciences (CN), Artificial Intelligence in Medicine (Canada) (CA)
National Natural Science Foundation of China, Research Grants Council, University Grants Committee, Hong Kong University of Science and Technology, Peking University, Pharmaceuticals Bayer, National Key Research and Development Program of China, Beijing National Laboratory for Molecular Sciences
Openalex Percentile: Top 6%
Chemical Synthesis and Analysis
4.03
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