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The analytical Flory random coil is a simple-to-use reference model for unfolded and disordered proteins
Denatured, unfolded, and intrinsically disordered proteins (collectively referred to here as unfolded proteins) can be described using analytical polymer models. These models capture various polymeric properties and can be fit to simulation results or experimental data. However, the model parameters...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054940/ https://www.ncbi.nlm.nih.gov/pubmed/36993592 http://dx.doi.org/10.1101/2023.03.12.531990 |
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author | Alston, Jhullian J. Ginell, Garrett M. Soranno, Andrea Holehouse, Alex S. |
author_facet | Alston, Jhullian J. Ginell, Garrett M. Soranno, Andrea Holehouse, Alex S. |
author_sort | Alston, Jhullian J. |
collection | PubMed |
description | Denatured, unfolded, and intrinsically disordered proteins (collectively referred to here as unfolded proteins) can be described using analytical polymer models. These models capture various polymeric properties and can be fit to simulation results or experimental data. However, the model parameters commonly require users’ decisions, making them useful for data interpretation but less clearly applicable as stand-alone reference models. Here we use all-atom simulations of polypeptides in conjunction with polymer scaling theory to parameterize an analytical model of unfolded polypeptides that behave as ideal chains (ν = 0.50). The model, which we call the analytical Flory Random Coil (AFRC), requires only the amino acid sequence as input and provides direct access to probability distributions of global and local conformational order parameters. The model defines a specific reference state to which experimental and computational results can be compared and normalized. As a proof-of-concept, we use the AFRC to identify sequence-specific intramolecular interactions in simulations of disordered proteins. We also use the AFRC to contextualize a curated set of 145 different radii of gyration obtained from previously published small-angle X-ray scattering experiments of disordered proteins. The AFRC is implemented as a stand-alone software package and is also available via a Google colab notebook. In summary, the AFRC provides a simple-to-use reference polymer model that can guide intuition and aid in interpreting experimental or simulation results. |
format | Online Article Text |
id | pubmed-10054940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-100549402023-03-30 The analytical Flory random coil is a simple-to-use reference model for unfolded and disordered proteins Alston, Jhullian J. Ginell, Garrett M. Soranno, Andrea Holehouse, Alex S. bioRxiv Article Denatured, unfolded, and intrinsically disordered proteins (collectively referred to here as unfolded proteins) can be described using analytical polymer models. These models capture various polymeric properties and can be fit to simulation results or experimental data. However, the model parameters commonly require users’ decisions, making them useful for data interpretation but less clearly applicable as stand-alone reference models. Here we use all-atom simulations of polypeptides in conjunction with polymer scaling theory to parameterize an analytical model of unfolded polypeptides that behave as ideal chains (ν = 0.50). The model, which we call the analytical Flory Random Coil (AFRC), requires only the amino acid sequence as input and provides direct access to probability distributions of global and local conformational order parameters. The model defines a specific reference state to which experimental and computational results can be compared and normalized. As a proof-of-concept, we use the AFRC to identify sequence-specific intramolecular interactions in simulations of disordered proteins. We also use the AFRC to contextualize a curated set of 145 different radii of gyration obtained from previously published small-angle X-ray scattering experiments of disordered proteins. The AFRC is implemented as a stand-alone software package and is also available via a Google colab notebook. In summary, the AFRC provides a simple-to-use reference polymer model that can guide intuition and aid in interpreting experimental or simulation results. Cold Spring Harbor Laboratory 2023-03-13 /pmc/articles/PMC10054940/ /pubmed/36993592 http://dx.doi.org/10.1101/2023.03.12.531990 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Alston, Jhullian J. Ginell, Garrett M. Soranno, Andrea Holehouse, Alex S. The analytical Flory random coil is a simple-to-use reference model for unfolded and disordered proteins |
title | The analytical Flory random coil is a simple-to-use reference model for unfolded and disordered proteins |
title_full | The analytical Flory random coil is a simple-to-use reference model for unfolded and disordered proteins |
title_fullStr | The analytical Flory random coil is a simple-to-use reference model for unfolded and disordered proteins |
title_full_unstemmed | The analytical Flory random coil is a simple-to-use reference model for unfolded and disordered proteins |
title_short | The analytical Flory random coil is a simple-to-use reference model for unfolded and disordered proteins |
title_sort | analytical flory random coil is a simple-to-use reference model for unfolded and disordered proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054940/ https://www.ncbi.nlm.nih.gov/pubmed/36993592 http://dx.doi.org/10.1101/2023.03.12.531990 |
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