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Prediction of folding patterns for intrinsic disordered protein
The conformation flexibility of natural protein causes both complexity and difficulty to understand the relationship between structure and function. The prediction of intrinsically disordered protein primarily is focusing on to disclose the regions with structural flexibility involving relevant biol...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663623/ https://www.ncbi.nlm.nih.gov/pubmed/37990040 http://dx.doi.org/10.1038/s41598-023-45969-5 |
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author | Yang, Jiaan Cheng, Wen-xiang Wu, Gang Sheng, Sitong Zhang, Peng |
author_facet | Yang, Jiaan Cheng, Wen-xiang Wu, Gang Sheng, Sitong Zhang, Peng |
author_sort | Yang, Jiaan |
collection | PubMed |
description | The conformation flexibility of natural protein causes both complexity and difficulty to understand the relationship between structure and function. The prediction of intrinsically disordered protein primarily is focusing on to disclose the regions with structural flexibility involving relevant biological functions and various diseases. The order of amino acids in protein sequence determines possible conformations, folding flexibility and biological function. Although many methods provided the information of intrinsically disordered protein (IDP), but the results are mainly limited to determine the locations of regions without knowledge of possible folding conformations. Here, the developed protein folding fingerprint adopted the protein folding variation matrix (PFVM) to reveal all possible folding patterns for the intrinsically disordered protein along its sequence. The PFVM integrally exhibited the intrinsically disordered protein with disordering regions, degree of disorder as well as folding pattern. The advantage of PFVM will not only provide rich information for IDP, but also may promote the study of protein folding problem. |
format | Online Article Text |
id | pubmed-10663623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106636232023-11-21 Prediction of folding patterns for intrinsic disordered protein Yang, Jiaan Cheng, Wen-xiang Wu, Gang Sheng, Sitong Zhang, Peng Sci Rep Article The conformation flexibility of natural protein causes both complexity and difficulty to understand the relationship between structure and function. The prediction of intrinsically disordered protein primarily is focusing on to disclose the regions with structural flexibility involving relevant biological functions and various diseases. The order of amino acids in protein sequence determines possible conformations, folding flexibility and biological function. Although many methods provided the information of intrinsically disordered protein (IDP), but the results are mainly limited to determine the locations of regions without knowledge of possible folding conformations. Here, the developed protein folding fingerprint adopted the protein folding variation matrix (PFVM) to reveal all possible folding patterns for the intrinsically disordered protein along its sequence. The PFVM integrally exhibited the intrinsically disordered protein with disordering regions, degree of disorder as well as folding pattern. The advantage of PFVM will not only provide rich information for IDP, but also may promote the study of protein folding problem. Nature Publishing Group UK 2023-11-21 /pmc/articles/PMC10663623/ /pubmed/37990040 http://dx.doi.org/10.1038/s41598-023-45969-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Yang, Jiaan Cheng, Wen-xiang Wu, Gang Sheng, Sitong Zhang, Peng Prediction of folding patterns for intrinsic disordered protein |
title | Prediction of folding patterns for intrinsic disordered protein |
title_full | Prediction of folding patterns for intrinsic disordered protein |
title_fullStr | Prediction of folding patterns for intrinsic disordered protein |
title_full_unstemmed | Prediction of folding patterns for intrinsic disordered protein |
title_short | Prediction of folding patterns for intrinsic disordered protein |
title_sort | prediction of folding patterns for intrinsic disordered protein |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663623/ https://www.ncbi.nlm.nih.gov/pubmed/37990040 http://dx.doi.org/10.1038/s41598-023-45969-5 |
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