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idpr: A package for profiling and analyzing Intrinsically Disordered Proteins in R
Intrinsically disordered proteins (IDPs) and intrinsically disordered regions (IDRs) are proteins or protein-domains that do not have a single native structure, rather, they are a class of flexible peptides that can rapidly adopt multiple conformations. IDPs are quite abundant, and their dynamic cha...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015136/ https://www.ncbi.nlm.nih.gov/pubmed/35436286 http://dx.doi.org/10.1371/journal.pone.0266929 |
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author | McFadden, William M. Yanowitz, Judith L. |
author_facet | McFadden, William M. Yanowitz, Judith L. |
author_sort | McFadden, William M. |
collection | PubMed |
description | Intrinsically disordered proteins (IDPs) and intrinsically disordered regions (IDRs) are proteins or protein-domains that do not have a single native structure, rather, they are a class of flexible peptides that can rapidly adopt multiple conformations. IDPs are quite abundant, and their dynamic characteristics provide unique advantages for various biological processes. The field of “unstructured biology” has emerged, in part, because of numerous computational studies that had identified the unique characteristics of IDPs and IDRs. The package ‘idpr’, short for Intrinsically Disordered Proteins in R, implements several R functions that match the established characteristics of IDPs to protein sequences of interest. This includes calculations of residue composition, charge-hydropathy relationships, and predictions of intrinsic disorder. Additionally, idpr integrates several amino acid substitution matrices and calculators to supplement IDP-based workflows. Overall, idpr aims to integrate tools for the computational analysis of IDPs within R, facilitating the analysis of these important, yet under-characterized, proteins. The idpr package can be downloaded from Bioconductor (https://bioconductor.org/packages/idpr/). |
format | Online Article Text |
id | pubmed-9015136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-90151362022-04-19 idpr: A package for profiling and analyzing Intrinsically Disordered Proteins in R McFadden, William M. Yanowitz, Judith L. PLoS One Lab Protocol Intrinsically disordered proteins (IDPs) and intrinsically disordered regions (IDRs) are proteins or protein-domains that do not have a single native structure, rather, they are a class of flexible peptides that can rapidly adopt multiple conformations. IDPs are quite abundant, and their dynamic characteristics provide unique advantages for various biological processes. The field of “unstructured biology” has emerged, in part, because of numerous computational studies that had identified the unique characteristics of IDPs and IDRs. The package ‘idpr’, short for Intrinsically Disordered Proteins in R, implements several R functions that match the established characteristics of IDPs to protein sequences of interest. This includes calculations of residue composition, charge-hydropathy relationships, and predictions of intrinsic disorder. Additionally, idpr integrates several amino acid substitution matrices and calculators to supplement IDP-based workflows. Overall, idpr aims to integrate tools for the computational analysis of IDPs within R, facilitating the analysis of these important, yet under-characterized, proteins. The idpr package can be downloaded from Bioconductor (https://bioconductor.org/packages/idpr/). Public Library of Science 2022-04-18 /pmc/articles/PMC9015136/ /pubmed/35436286 http://dx.doi.org/10.1371/journal.pone.0266929 Text en © 2022 McFadden, Yanowitz https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Lab Protocol McFadden, William M. Yanowitz, Judith L. idpr: A package for profiling and analyzing Intrinsically Disordered Proteins in R |
title | idpr: A package for profiling and analyzing Intrinsically Disordered Proteins in R |
title_full | idpr: A package for profiling and analyzing Intrinsically Disordered Proteins in R |
title_fullStr | idpr: A package for profiling and analyzing Intrinsically Disordered Proteins in R |
title_full_unstemmed | idpr: A package for profiling and analyzing Intrinsically Disordered Proteins in R |
title_short | idpr: A package for profiling and analyzing Intrinsically Disordered Proteins in R |
title_sort | idpr: a package for profiling and analyzing intrinsically disordered proteins in r |
topic | Lab Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015136/ https://www.ncbi.nlm.nih.gov/pubmed/35436286 http://dx.doi.org/10.1371/journal.pone.0266929 |
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