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SS-map: Visualizing cooperative secondary structure elements in protein ensembles
We present SS-map, a tool to visualize the secondary structure content of ensembles of proteins. When generating ensembles of intrinsically disordered proteins, we lose the understanding a single native structure gives for folded proteins. It then becomes difficult to visualize the composition of th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424797/ https://www.ncbi.nlm.nih.gov/pubmed/28516013 http://dx.doi.org/10.4161/idp.25323 |
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author | Iglesias, Jelisa Sanchez-Martínez, Melchor Crehuet, Ramon |
author_facet | Iglesias, Jelisa Sanchez-Martínez, Melchor Crehuet, Ramon |
author_sort | Iglesias, Jelisa |
collection | PubMed |
description | We present SS-map, a tool to visualize the secondary structure content of ensembles of proteins. When generating ensembles of intrinsically disordered proteins, we lose the understanding a single native structure gives for folded proteins. It then becomes difficult to visualize the composition of the ensembles or to detect transient helices such as MoRFs. Conformational propensities for single residues also hide the nature of cooperative structures. Here we show how SS-map describes folded and unfolded ensembles of some peptides and gives a new view of the ensembles used to describe intrinsically disordered proteins with residual structure in computational and NMR experiments. This tool is implemented in an open-source python code located at code.google.com/p/ss-map |
format | Online Article Text |
id | pubmed-5424797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-54247972017-05-17 SS-map: Visualizing cooperative secondary structure elements in protein ensembles Iglesias, Jelisa Sanchez-Martínez, Melchor Crehuet, Ramon Intrinsically Disord Proteins Short Communication We present SS-map, a tool to visualize the secondary structure content of ensembles of proteins. When generating ensembles of intrinsically disordered proteins, we lose the understanding a single native structure gives for folded proteins. It then becomes difficult to visualize the composition of the ensembles or to detect transient helices such as MoRFs. Conformational propensities for single residues also hide the nature of cooperative structures. Here we show how SS-map describes folded and unfolded ensembles of some peptides and gives a new view of the ensembles used to describe intrinsically disordered proteins with residual structure in computational and NMR experiments. This tool is implemented in an open-source python code located at code.google.com/p/ss-map Taylor & Francis 2013-06-10 /pmc/articles/PMC5424797/ /pubmed/28516013 http://dx.doi.org/10.4161/idp.25323 Text en Copyright © 2013 Landes Bioscience http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited. |
spellingShingle | Short Communication Iglesias, Jelisa Sanchez-Martínez, Melchor Crehuet, Ramon SS-map: Visualizing cooperative secondary structure elements in protein ensembles |
title | SS-map: Visualizing cooperative secondary structure elements in protein ensembles |
title_full | SS-map: Visualizing cooperative secondary structure elements in protein ensembles |
title_fullStr | SS-map: Visualizing cooperative secondary structure elements in protein ensembles |
title_full_unstemmed | SS-map: Visualizing cooperative secondary structure elements in protein ensembles |
title_short | SS-map: Visualizing cooperative secondary structure elements in protein ensembles |
title_sort | ss-map: visualizing cooperative secondary structure elements in protein ensembles |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424797/ https://www.ncbi.nlm.nih.gov/pubmed/28516013 http://dx.doi.org/10.4161/idp.25323 |
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