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Coarse-Grained Modeling and Molecular Dynamics Simulations of Ca(2+)-Calmodulin
Calmodulin (CaM) is a calcium-binding protein that transduces signals to downstream proteins through target binding upon calcium binding in a time-dependent manner. Understanding the target binding process that tunes CaM’s affinity for the calcium ions (Ca(2+)), or vice versa, may provide insight in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421859/ https://www.ncbi.nlm.nih.gov/pubmed/34504868 http://dx.doi.org/10.3389/fmolb.2021.661322 |
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author | Nde, Jules Zhang, Pengzhi Ezerski, Jacob C. Lu, Wei Knapp, Kaitlin Wolynes, Peter G. Cheung, Margaret S. |
author_facet | Nde, Jules Zhang, Pengzhi Ezerski, Jacob C. Lu, Wei Knapp, Kaitlin Wolynes, Peter G. Cheung, Margaret S. |
author_sort | Nde, Jules |
collection | PubMed |
description | Calmodulin (CaM) is a calcium-binding protein that transduces signals to downstream proteins through target binding upon calcium binding in a time-dependent manner. Understanding the target binding process that tunes CaM’s affinity for the calcium ions (Ca(2+)), or vice versa, may provide insight into how Ca(2+)-CaM selects its target binding proteins. However, modeling of Ca(2+)-CaM in molecular simulations is challenging because of the gross structural changes in its central linker regions while the two lobes are relatively rigid due to tight binding of the Ca(2+) to the calcium-binding loops where the loop forms a pentagonal bipyramidal coordination geometry with Ca(2+). This feature that underlies the reciprocal relation between Ca(2+) binding and target binding of CaM, however, has yet to be considered in the structural modeling. Here, we presented a coarse-grained model based on the Associative memory, Water mediated, Structure, and Energy Model (AWSEM) protein force field, to investigate the salient features of CaM. Particularly, we optimized the force field of CaM and that of Ca(2+) ions by using its coordination chemistry in the calcium-binding loops to match with experimental observations. We presented a “community model” of CaM that is capable of sampling various conformations of CaM, incorporating various calcium-binding states, and carrying the memory of binding with various targets, which sets the foundation of the reciprocal relation of target binding and Ca(2+) binding in future studies. |
format | Online Article Text |
id | pubmed-8421859 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84218592021-09-08 Coarse-Grained Modeling and Molecular Dynamics Simulations of Ca(2+)-Calmodulin Nde, Jules Zhang, Pengzhi Ezerski, Jacob C. Lu, Wei Knapp, Kaitlin Wolynes, Peter G. Cheung, Margaret S. Front Mol Biosci Molecular Biosciences Calmodulin (CaM) is a calcium-binding protein that transduces signals to downstream proteins through target binding upon calcium binding in a time-dependent manner. Understanding the target binding process that tunes CaM’s affinity for the calcium ions (Ca(2+)), or vice versa, may provide insight into how Ca(2+)-CaM selects its target binding proteins. However, modeling of Ca(2+)-CaM in molecular simulations is challenging because of the gross structural changes in its central linker regions while the two lobes are relatively rigid due to tight binding of the Ca(2+) to the calcium-binding loops where the loop forms a pentagonal bipyramidal coordination geometry with Ca(2+). This feature that underlies the reciprocal relation between Ca(2+) binding and target binding of CaM, however, has yet to be considered in the structural modeling. Here, we presented a coarse-grained model based on the Associative memory, Water mediated, Structure, and Energy Model (AWSEM) protein force field, to investigate the salient features of CaM. Particularly, we optimized the force field of CaM and that of Ca(2+) ions by using its coordination chemistry in the calcium-binding loops to match with experimental observations. We presented a “community model” of CaM that is capable of sampling various conformations of CaM, incorporating various calcium-binding states, and carrying the memory of binding with various targets, which sets the foundation of the reciprocal relation of target binding and Ca(2+) binding in future studies. Frontiers Media S.A. 2021-08-24 /pmc/articles/PMC8421859/ /pubmed/34504868 http://dx.doi.org/10.3389/fmolb.2021.661322 Text en Copyright © 2021 Nde, Zhang, Ezerski, Lu, Knapp, Wolynes and Cheung. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Molecular Biosciences Nde, Jules Zhang, Pengzhi Ezerski, Jacob C. Lu, Wei Knapp, Kaitlin Wolynes, Peter G. Cheung, Margaret S. Coarse-Grained Modeling and Molecular Dynamics Simulations of Ca(2+)-Calmodulin |
title | Coarse-Grained Modeling and Molecular Dynamics Simulations of Ca(2+)-Calmodulin |
title_full | Coarse-Grained Modeling and Molecular Dynamics Simulations of Ca(2+)-Calmodulin |
title_fullStr | Coarse-Grained Modeling and Molecular Dynamics Simulations of Ca(2+)-Calmodulin |
title_full_unstemmed | Coarse-Grained Modeling and Molecular Dynamics Simulations of Ca(2+)-Calmodulin |
title_short | Coarse-Grained Modeling and Molecular Dynamics Simulations of Ca(2+)-Calmodulin |
title_sort | coarse-grained modeling and molecular dynamics simulations of ca(2+)-calmodulin |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8421859/ https://www.ncbi.nlm.nih.gov/pubmed/34504868 http://dx.doi.org/10.3389/fmolb.2021.661322 |
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