Emergent Effect of Mixed Crowders on Protein Dimerization

In vivo protein-protein association is modulated by non-specific interactions with the cellular matrix, known as crowding. Replicating the heterogeneity and complexity of cellular conditions in experiments and simulations to quantify the crowding influences remains a formidable challenge. As an alternative, homogeneous mixtures of polymers or proteins as crowders are employed, although they provide limited insight to the actual effect. In this work, we present a minimalistic coarse-grained model of GB1 dimerization in lysozyme crowders by adjusting the GB1-lysozyme effective potential parameters obtained through high-resolution Martini simulation. Employing these parameters it is shown that GB1 dimerization (side-by-side dimer formation) is destabilized in presence of lysozyme, as observed in experiments. The model is further extended to incorporate binary crowder mixtures for crowder species of various sizes and interaction potentials. It is found that depending on mixing conditions and crowder volume fraction, dimerization can either be stabilized or destabilized. In particular, in presence of crowders of different sizes, the smaller one plays the dominant role. Finally, we observe that the overall change of stability due to crowding emerges from a delicate balance between enthalpy and entropy that cannot be predicted by considering the property of single crowder species. These results provide invaluable insights for interpreting experimental observations under cell-like conditions.

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Publication Details

Journal
Journal of Computational Chemistry
Published
2025-11-20
DOI
https://doi.org/10.1002/jcc.70271
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
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article

Emergent Effect of Mixed Crowders on Protein Dimerization

Sweta Pradhan, Mithun Biswas, Rajendra Rath
Journal of Computational Chemistry
Protein Structure and Dynamics
article

Emergent Effect of Mixed Crowders on Protein Dimerization

Sweta Pradhan, Mithun Biswas, Rajendra Rath
article en

Abstract

In vivo protein-protein association is modulated by non-specific interactions with the cellular matrix, known as crowding. Replicating the heterogeneity and complexity of cellular conditions in experiments and simulations to quantify the crowding influences remains a formidable challenge. As an alternative, homogeneous mixtures of polymers or proteins as crowders are employed, although they provide limited insight to the actual effect. In this work, we present a minimalistic coarse-grained model of GB1 dimerization in lysozyme crowders by adjusting the GB1-lysozyme effective potential parameters obtained through high-resolution Martini simulation. Employing these parameters it is shown that GB1 dimerization (side-by-side dimer formation) is destabilized in presence of lysozyme, as observed in experiments. The model is further extended to incorporate binary crowder mixtures for crowder species of various sizes and interaction potentials. It is found that depending on mixing conditions and crowder volume fraction, dimerization can either be stabilized or destabilized. In particular, in presence of crowders of different sizes, the smaller one plays the dominant role. Finally, we observe that the overall change of stability due to crowding emerges from a delicate balance between enthalpy and entropy that cannot be predicted by considering the property of single crowder species. These results provide invaluable insights for interpreting experimental observations under cell-like conditions.

Journal of Computational ChemistryVol. 46(31)
National Institute of Technology Rourkela (IN)
Department of Biotechnology, Ministry of Science and Technology, India, National Institute of Technology Rourkela, Indian Institute of Technology Kharagpur
Openalex Percentile: Top 68%
Protein Structure and Dynamics
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