The Effect of Attractive Interactions and Macromolecular Crowding on Crystallins Association.
In living systems proteins are typically found in crowded environments where their effective interactions strongly depend on the surrounding medium. Yet, their association and dissociation needs to be robustly controlled in order to enable biological function. Uncontrolled protein aggregation often...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4783108?pdf=render |
| _version_ | 1818120296171831296 |
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| author | Jiachen Wei Jure Dobnikar Tine Curk Fan Song |
| author_facet | Jiachen Wei Jure Dobnikar Tine Curk Fan Song |
| author_sort | Jiachen Wei |
| collection | DOAJ |
| description | In living systems proteins are typically found in crowded environments where their effective interactions strongly depend on the surrounding medium. Yet, their association and dissociation needs to be robustly controlled in order to enable biological function. Uncontrolled protein aggregation often causes disease. For instance, cataract is caused by the clustering of lens proteins, i.e., crystallins, resulting in enhanced light scattering and impaired vision or blindness. To investigate the molecular origins of cataract formation and to design efficient treatments, a better understanding of crystallin association in macromolecular crowded environment is needed. Here we present a theoretical study of simple coarse grained colloidal models to characterize the general features of how the association equilibrium of proteins depends on the magnitude of intermolecular attraction. By comparing the analytic results to the available experimental data on the osmotic pressure in crystallin solutions, we identify the effective parameters regimes applicable to crystallins. Moreover, the combination of two models allows us to predict that the number of binding sites on crystallin is small, i.e. one to three per protein, which is different from previous estimates. We further observe that the crowding factor is sensitive to the size asymmetry between the reactants and crowding agents, the shape of the protein clusters, and to small variations of intermolecular attraction. Our work may provide general guidelines on how to steer the protein interactions in order to control their association. |
| first_indexed | 2024-12-11T05:23:50Z |
| format | Article |
| id | doaj.art-08c5d66fc40640c4a7eb1d7d9b224935 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-11T05:23:50Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-08c5d66fc40640c4a7eb1d7d9b2249352022-12-22T01:19:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01113e015115910.1371/journal.pone.0151159The Effect of Attractive Interactions and Macromolecular Crowding on Crystallins Association.Jiachen WeiJure DobnikarTine CurkFan SongIn living systems proteins are typically found in crowded environments where their effective interactions strongly depend on the surrounding medium. Yet, their association and dissociation needs to be robustly controlled in order to enable biological function. Uncontrolled protein aggregation often causes disease. For instance, cataract is caused by the clustering of lens proteins, i.e., crystallins, resulting in enhanced light scattering and impaired vision or blindness. To investigate the molecular origins of cataract formation and to design efficient treatments, a better understanding of crystallin association in macromolecular crowded environment is needed. Here we present a theoretical study of simple coarse grained colloidal models to characterize the general features of how the association equilibrium of proteins depends on the magnitude of intermolecular attraction. By comparing the analytic results to the available experimental data on the osmotic pressure in crystallin solutions, we identify the effective parameters regimes applicable to crystallins. Moreover, the combination of two models allows us to predict that the number of binding sites on crystallin is small, i.e. one to three per protein, which is different from previous estimates. We further observe that the crowding factor is sensitive to the size asymmetry between the reactants and crowding agents, the shape of the protein clusters, and to small variations of intermolecular attraction. Our work may provide general guidelines on how to steer the protein interactions in order to control their association.http://europepmc.org/articles/PMC4783108?pdf=render |
| spellingShingle | Jiachen Wei Jure Dobnikar Tine Curk Fan Song The Effect of Attractive Interactions and Macromolecular Crowding on Crystallins Association. PLoS ONE |
| title | The Effect of Attractive Interactions and Macromolecular Crowding on Crystallins Association. |
| title_full | The Effect of Attractive Interactions and Macromolecular Crowding on Crystallins Association. |
| title_fullStr | The Effect of Attractive Interactions and Macromolecular Crowding on Crystallins Association. |
| title_full_unstemmed | The Effect of Attractive Interactions and Macromolecular Crowding on Crystallins Association. |
| title_short | The Effect of Attractive Interactions and Macromolecular Crowding on Crystallins Association. |
| title_sort | effect of attractive interactions and macromolecular crowding on crystallins association |
| url | http://europepmc.org/articles/PMC4783108?pdf=render |
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