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Statistical mechanics of protein structural transitions: Insights from the island model
The so-called island model of protein structural transition holds that hydrophobic interactions are the key to both the folding and function of proteins. Herein, the genesis and statistical mechanical basis of the island model of transitions are reviewed, by presenting the results of simulations of...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Biophysical Society of Japan (BSJ)
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221510/ https://www.ncbi.nlm.nih.gov/pubmed/28409078 http://dx.doi.org/10.2142/biophysico.13.0_251 |
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author | Kobayashi, Yukio |
author_facet | Kobayashi, Yukio |
author_sort | Kobayashi, Yukio |
collection | PubMed |
description | The so-called island model of protein structural transition holds that hydrophobic interactions are the key to both the folding and function of proteins. Herein, the genesis and statistical mechanical basis of the island model of transitions are reviewed, by presenting the results of simulations of such transitions. Elucidating the physicochemical mechanism of protein structural formation is the foundation for understanding the hierarchical structure of life at the microscopic level. Based on the results obtained to date using the island model, remaining problems and future work in the field of protein structures are discussed, referencing Professor Saitô’s views on the hierarchic structure of science. |
format | Online Article Text |
id | pubmed-5221510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Biophysical Society of Japan (BSJ) |
record_format | MEDLINE/PubMed |
spelling | pubmed-52215102017-04-13 Statistical mechanics of protein structural transitions: Insights from the island model Kobayashi, Yukio Biophys Physicobiol Review Article The so-called island model of protein structural transition holds that hydrophobic interactions are the key to both the folding and function of proteins. Herein, the genesis and statistical mechanical basis of the island model of transitions are reviewed, by presenting the results of simulations of such transitions. Elucidating the physicochemical mechanism of protein structural formation is the foundation for understanding the hierarchical structure of life at the microscopic level. Based on the results obtained to date using the island model, remaining problems and future work in the field of protein structures are discussed, referencing Professor Saitô’s views on the hierarchic structure of science. The Biophysical Society of Japan (BSJ) 2016-11-18 /pmc/articles/PMC5221510/ /pubmed/28409078 http://dx.doi.org/10.2142/biophysico.13.0_251 Text en © 2016 The Biophysical Society of Japan This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Kobayashi, Yukio Statistical mechanics of protein structural transitions: Insights from the island model |
title | Statistical mechanics of protein structural transitions: Insights from the island model |
title_full | Statistical mechanics of protein structural transitions: Insights from the island model |
title_fullStr | Statistical mechanics of protein structural transitions: Insights from the island model |
title_full_unstemmed | Statistical mechanics of protein structural transitions: Insights from the island model |
title_short | Statistical mechanics of protein structural transitions: Insights from the island model |
title_sort | statistical mechanics of protein structural transitions: insights from the island model |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221510/ https://www.ncbi.nlm.nih.gov/pubmed/28409078 http://dx.doi.org/10.2142/biophysico.13.0_251 |
work_keys_str_mv | AT kobayashiyukio statisticalmechanicsofproteinstructuraltransitionsinsightsfromtheislandmodel |