Abstract 1392 Modeling reveals the strength of weak interactions in stacked ring assembly

Cells employ large macromolecular machines for the execution and regulation of many vital processes for cell and organismal viability.Interestingly, cells cannot synthesize these machines as functioning units.Instead, cells synthesize the molecular parts that must then assemble into the functional complex.An extremely common motif is a stacked ring-like topology.Thus, understanding how stacked rings assemble is crucial for our understanding of how macromolecular complexes are regulated.In this work, we developed a mathematical deterministic model of stacked trimer assembly that accounts for different binding affinities between and within rings.Our main finding is that deadlocka severe form of kinetic trapping-can be extremely long, lasting for days or longer.Deadlock is worst when all the interfaces have high binding affinities.Therefore, we predict that evolutionary pressures select against stacked trimers having strong binding affinities throughout.We tested our prediction by analyzing solved stacked trimer structures; we found that indeed the majorityif not allof the stacked trimers did not contain very strong interactions.Finally, to better understand the origins of deadlock, our pathway analysis show that when all the binding affinities are strong, many of the possible pathways are utilized, consuming subunits, and creating high levels of deadlock.In sum, our work provides critical insight into the evolutionary pressures that have shaped the assembly of stacked rings.

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Publication Details

Journal
Journal of Biological Chemistry
Published
2025-05-01
DOI
https://doi.org/10.1016/j.jbc.2025.108967
Primary Topic
Connective tissue disorders research
Type
article
Field-Weighted Citation Impact
0.00

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article

Abstract 1392 Modeling reveals the strength of weak interactions in stacked ring assembly

Leonila Lagunes, Eric J. Deeds
Journal of Biological Chemistry
Connective tissue disorders research
article

Abstract 1392 Modeling reveals the strength of weak interactions in stacked ring assembly

Leonila Lagunes, Eric J. Deeds
article en

Abstract

Cells employ large macromolecular machines for the execution and regulation of many vital processes for cell and organismal viability.Interestingly, cells cannot synthesize these machines as functioning units.Instead, cells synthesize the molecular parts that must then assemble into the functional complex.An extremely common motif is a stacked ring-like topology.Thus, understanding how stacked rings assemble is crucial for our understanding of how macromolecular complexes are regulated.In this work, we developed a mathematical deterministic model of stacked trimer assembly that accounts for different binding affinities between and within rings.Our main finding is that deadlocka severe form of kinetic trapping-can be extremely long, lasting for days or longer.Deadlock is worst when all the interfaces have high binding affinities.Therefore, we predict that evolutionary pressures select against stacked trimers having strong binding affinities throughout.We tested our prediction by analyzing solved stacked trimer structures; we found that indeed the majorityif not allof the stacked trimers did not contain very strong interactions.Finally, to better understand the origins of deadlock, our pathway analysis show that when all the binding affinities are strong, many of the possible pathways are utilized, consuming subunits, and creating high levels of deadlock.In sum, our work provides critical insight into the evolutionary pressures that have shaped the assembly of stacked rings.

Journal of Biological ChemistryVol. 301(5)
Rochester Institute of Technology (US), University of California, Los Angeles (US)
National Institutes of Health, National Institute of General Medical Sciences
Openalex Percentile: Top 84%
Connective tissue disorders research
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Abstract 1392 Modeling reveals the strength of weak interactions in stacked ring assembly — Leonila Lagunes, Eric J. Deeds · Journal of Biological Chemistry (2025) | TGRS Research Map | TGRS