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Online interactive analysis of protein structure ensembles with Bio3D-web
Summary: Bio3D-web is an online application for analyzing the sequence, structure and conformational heterogeneity of protein families. Major functionality is provided for identifying protein structure sets for analysis, their alignment and refined structure superposition, sequence and structure con...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5181562/ https://www.ncbi.nlm.nih.gov/pubmed/27423893 http://dx.doi.org/10.1093/bioinformatics/btw482 |
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author | Skjærven, Lars Jariwala, Shashank Yao, Xin-Qiu Grant, Barry J. |
author_facet | Skjærven, Lars Jariwala, Shashank Yao, Xin-Qiu Grant, Barry J. |
author_sort | Skjærven, Lars |
collection | PubMed |
description | Summary: Bio3D-web is an online application for analyzing the sequence, structure and conformational heterogeneity of protein families. Major functionality is provided for identifying protein structure sets for analysis, their alignment and refined structure superposition, sequence and structure conservation analysis, mapping and clustering of conformations and the quantitative comparison of their predicted structural dynamics. Availability: Bio3D-web is based on the Bio3D and Shiny R packages. All major browsers are supported and full source code is available under a GPL2 license from http://thegrantlab.org/bio3d-web. Contact: bjgrant@umich.edu or lars.skjarven@uib.no |
format | Online Article Text |
id | pubmed-5181562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-51815622016-12-27 Online interactive analysis of protein structure ensembles with Bio3D-web Skjærven, Lars Jariwala, Shashank Yao, Xin-Qiu Grant, Barry J. Bioinformatics Applications Notes Summary: Bio3D-web is an online application for analyzing the sequence, structure and conformational heterogeneity of protein families. Major functionality is provided for identifying protein structure sets for analysis, their alignment and refined structure superposition, sequence and structure conservation analysis, mapping and clustering of conformations and the quantitative comparison of their predicted structural dynamics. Availability: Bio3D-web is based on the Bio3D and Shiny R packages. All major browsers are supported and full source code is available under a GPL2 license from http://thegrantlab.org/bio3d-web. Contact: bjgrant@umich.edu or lars.skjarven@uib.no Oxford University Press 2016-11-15 2016-07-16 /pmc/articles/PMC5181562/ /pubmed/27423893 http://dx.doi.org/10.1093/bioinformatics/btw482 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Skjærven, Lars Jariwala, Shashank Yao, Xin-Qiu Grant, Barry J. Online interactive analysis of protein structure ensembles with Bio3D-web |
title | Online interactive analysis of protein structure ensembles with Bio3D-web |
title_full | Online interactive analysis of protein structure ensembles with Bio3D-web |
title_fullStr | Online interactive analysis of protein structure ensembles with Bio3D-web |
title_full_unstemmed | Online interactive analysis of protein structure ensembles with Bio3D-web |
title_short | Online interactive analysis of protein structure ensembles with Bio3D-web |
title_sort | online interactive analysis of protein structure ensembles with bio3d-web |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5181562/ https://www.ncbi.nlm.nih.gov/pubmed/27423893 http://dx.doi.org/10.1093/bioinformatics/btw482 |
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