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Optimized OPEP Force Field for Simulation of Crowded Protein Solutions
[Image: see text] Macromolecular crowding has profound effects on the mobility of proteins, with strong implications on the rates of intracellular processes. To describe the dynamics of crowded environments, detailed molecular models are needed, capturing the structures and interactions arising in t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150358/ https://www.ncbi.nlm.nih.gov/pubmed/37071827 http://dx.doi.org/10.1021/acs.jpcb.3c00253 |
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author | Timr, Stepan Melchionna, Simone Derreumaux, Philippe Sterpone, Fabio |
author_facet | Timr, Stepan Melchionna, Simone Derreumaux, Philippe Sterpone, Fabio |
author_sort | Timr, Stepan |
collection | PubMed |
description | [Image: see text] Macromolecular crowding has profound effects on the mobility of proteins, with strong implications on the rates of intracellular processes. To describe the dynamics of crowded environments, detailed molecular models are needed, capturing the structures and interactions arising in the crowded system. In this work, we present OPEPv7, which is a coarse-grained force field at amino-acid resolution, suited for rigid-body simulations of the structure and dynamics of crowded solutions formed by globular proteins. Using the OPEP protein model as a starting point, we have refined the intermolecular interactions to match the experimentally observed dynamical slowdown caused by crowding. The resulting force field successfully reproduces the diffusion slowdown in homogeneous and heterogeneous protein solutions at different crowding conditions. Coupled with the lattice Boltzmann technique, it allows the study of dynamical phenomena in protein assemblies and opens the way for the in silico rheology of protein solutions. |
format | Online Article Text |
id | pubmed-10150358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-101503582023-05-02 Optimized OPEP Force Field for Simulation of Crowded Protein Solutions Timr, Stepan Melchionna, Simone Derreumaux, Philippe Sterpone, Fabio J Phys Chem B [Image: see text] Macromolecular crowding has profound effects on the mobility of proteins, with strong implications on the rates of intracellular processes. To describe the dynamics of crowded environments, detailed molecular models are needed, capturing the structures and interactions arising in the crowded system. In this work, we present OPEPv7, which is a coarse-grained force field at amino-acid resolution, suited for rigid-body simulations of the structure and dynamics of crowded solutions formed by globular proteins. Using the OPEP protein model as a starting point, we have refined the intermolecular interactions to match the experimentally observed dynamical slowdown caused by crowding. The resulting force field successfully reproduces the diffusion slowdown in homogeneous and heterogeneous protein solutions at different crowding conditions. Coupled with the lattice Boltzmann technique, it allows the study of dynamical phenomena in protein assemblies and opens the way for the in silico rheology of protein solutions. American Chemical Society 2023-04-18 /pmc/articles/PMC10150358/ /pubmed/37071827 http://dx.doi.org/10.1021/acs.jpcb.3c00253 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Timr, Stepan Melchionna, Simone Derreumaux, Philippe Sterpone, Fabio Optimized OPEP Force Field for Simulation of Crowded Protein Solutions |
title | Optimized OPEP
Force Field for Simulation of Crowded
Protein Solutions |
title_full | Optimized OPEP
Force Field for Simulation of Crowded
Protein Solutions |
title_fullStr | Optimized OPEP
Force Field for Simulation of Crowded
Protein Solutions |
title_full_unstemmed | Optimized OPEP
Force Field for Simulation of Crowded
Protein Solutions |
title_short | Optimized OPEP
Force Field for Simulation of Crowded
Protein Solutions |
title_sort | optimized opep
force field for simulation of crowded
protein solutions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150358/ https://www.ncbi.nlm.nih.gov/pubmed/37071827 http://dx.doi.org/10.1021/acs.jpcb.3c00253 |
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