Sticky Enzymes: Increased Metabolic Efficiency via Substrate-Dependent Enzyme Clustering

Coclustering of subsequent enzymes in a pathway can accelerate the processing of metabolic intermediates, with benefits including increased pathway fluxes, reduced toxicity, and sensitive branch-point regulation. While the optimal organization of such clusters has been explored theoretically, little is known about how to achieve such organization inside cells. Here we propose that phase-separating enzymes can self-organize into nearly optimally sized and spaced clusters, provided that their “stickiness” is regulated by local substrate availability. In a nutshell, enzyme clusters only form when and where they are needed to process substrate. We study a mathematical model that implements this scheme for simple metabolic pathways, including all thermodynamic constraints. We find that pathway fluxes can be increased by 50- to 1000-fold and toxic metabolites can be decreased by 10- to 100-fold at realistic enzyme densities. Finally, we discuss how enzyme “stickiness” could be allosterically regulated. This study presents a self-organization strategy that goes beyond current paradigms for natural and engineered enzyme clusters and thus represents a motivating challenge to the fields of synthetic biology and metabolic engineering.

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Publication Details

Journal
PRX Life
Published
2025-07-16
DOI
https://doi.org/10.1103/99bt-4ss4
Citations
2
Primary Topic
Enzyme Catalysis and Immobilization
Type
article
Field-Weighted Citation Impact
1.61
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article

Sticky Enzymes: Increased Metabolic Efficiency via Substrate-Dependent Enzyme Clustering

Jiangling Zhou, Ned S. Wingreen, Yaojun Zhang, Karl J. Friston
2 citations
PRX Life
Enzyme Catalysis and Immobilization
1.61
article

Sticky Enzymes: Increased Metabolic Efficiency via Substrate-Dependent Enzyme Clustering

Jiangling Zhou, Ned S. Wingreen, Yaojun Zhang, Karl J. Friston
article en
2 citations

Abstract

Coclustering of subsequent enzymes in a pathway can accelerate the processing of metabolic intermediates, with benefits including increased pathway fluxes, reduced toxicity, and sensitive branch-point regulation. While the optimal organization of such clusters has been explored theoretically, little is known about how to achieve such organization inside cells. Here we propose that phase-separating enzymes can self-organize into nearly optimally sized and spaced clusters, provided that their “stickiness” is regulated by local substrate availability. In a nutshell, enzyme clusters only form when and where they are needed to process substrate. We study a mathematical model that implements this scheme for simple metabolic pathways, including all thermodynamic constraints. We find that pathway fluxes can be increased by 50- to 1000-fold and toxic metabolites can be decreased by 10- to 100-fold at realistic enzyme densities. Finally, we discuss how enzyme “stickiness” could be allosterically regulated. This study presents a self-organization strategy that goes beyond current paradigms for natural and engineered enzyme clusters and thus represents a motivating challenge to the fields of synthetic biology and metabolic engineering.

PRX LifeVol. 3(3)
Johns Hopkins University (US), Princeton University (US)
Openalex Percentile: Top 16%
Enzyme Catalysis and Immobilization
1.61
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