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A discrete-to-continuum model of protein complexes
On the basis of a tensor representation of protein shape, obtained by an affine decomposition of residue velocity, we show how to identify actions at continuum scale for both single proteins and their complexes in terms of power equivalence. The approach constructs and justifies a continuum modeling...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133019/ https://www.ncbi.nlm.nih.gov/pubmed/35334002 http://dx.doi.org/10.1007/s10237-022-01564-7 |
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author | Mariano, Paolo Maria Bacci, Marco |
author_facet | Mariano, Paolo Maria Bacci, Marco |
author_sort | Mariano, Paolo Maria |
collection | PubMed |
description | On the basis of a tensor representation of protein shape, obtained by an affine decomposition of residue velocity, we show how to identify actions at continuum scale for both single proteins and their complexes in terms of power equivalence. The approach constructs and justifies a continuum modeling of protein complexes, which avoids a direct, atomistic-based, simulation of the whole complex, rather it focuses (in a statistical sense) on a single protein and its interactions with the neighbors. In the resulting setting we also prove the existence of equilibrium configurations (native states) under large strains. |
format | Online Article Text |
id | pubmed-9133019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-91330192022-05-27 A discrete-to-continuum model of protein complexes Mariano, Paolo Maria Bacci, Marco Biomech Model Mechanobiol Original Paper On the basis of a tensor representation of protein shape, obtained by an affine decomposition of residue velocity, we show how to identify actions at continuum scale for both single proteins and their complexes in terms of power equivalence. The approach constructs and justifies a continuum modeling of protein complexes, which avoids a direct, atomistic-based, simulation of the whole complex, rather it focuses (in a statistical sense) on a single protein and its interactions with the neighbors. In the resulting setting we also prove the existence of equilibrium configurations (native states) under large strains. Springer Berlin Heidelberg 2022-03-25 2022 /pmc/articles/PMC9133019/ /pubmed/35334002 http://dx.doi.org/10.1007/s10237-022-01564-7 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Mariano, Paolo Maria Bacci, Marco A discrete-to-continuum model of protein complexes |
title | A discrete-to-continuum model of protein complexes |
title_full | A discrete-to-continuum model of protein complexes |
title_fullStr | A discrete-to-continuum model of protein complexes |
title_full_unstemmed | A discrete-to-continuum model of protein complexes |
title_short | A discrete-to-continuum model of protein complexes |
title_sort | discrete-to-continuum model of protein complexes |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133019/ https://www.ncbi.nlm.nih.gov/pubmed/35334002 http://dx.doi.org/10.1007/s10237-022-01564-7 |
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