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RCSB Protein Data Bank 1D3D module: displaying positional features on macromolecular assemblies

MOTIVATION: Mapping positional features from one-dimensional (1D) sequences onto three-dimensional (3D) structures of biological macromolecules is a powerful tool to show geometric patterns of biochemical annotations and provide a better understanding of the mechanisms underpinning protein and nucle...

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Detalles Bibliográficos
Autores principales: Segura, Joan, Rose, Yana, Bittrich, Sebastian, Burley, Stephen K, Duarte, Jose M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191206/
https://www.ncbi.nlm.nih.gov/pubmed/35543462
http://dx.doi.org/10.1093/bioinformatics/btac317
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author Segura, Joan
Rose, Yana
Bittrich, Sebastian
Burley, Stephen K
Duarte, Jose M
author_facet Segura, Joan
Rose, Yana
Bittrich, Sebastian
Burley, Stephen K
Duarte, Jose M
author_sort Segura, Joan
collection PubMed
description MOTIVATION: Mapping positional features from one-dimensional (1D) sequences onto three-dimensional (3D) structures of biological macromolecules is a powerful tool to show geometric patterns of biochemical annotations and provide a better understanding of the mechanisms underpinning protein and nucleic acid function at the atomic level. RESULTS: We present a new library designed to display fully customizable interactive views between 1D positional features of protein and/or nucleic acid sequences and their 3D structures as isolated chains or components of macromolecular assemblies. AVAILABILITY AND IMPLEMENTATION: https://github.com/rcsb/rcsb-saguaro-3d. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-91912062022-06-14 RCSB Protein Data Bank 1D3D module: displaying positional features on macromolecular assemblies Segura, Joan Rose, Yana Bittrich, Sebastian Burley, Stephen K Duarte, Jose M Bioinformatics Applications Notes MOTIVATION: Mapping positional features from one-dimensional (1D) sequences onto three-dimensional (3D) structures of biological macromolecules is a powerful tool to show geometric patterns of biochemical annotations and provide a better understanding of the mechanisms underpinning protein and nucleic acid function at the atomic level. RESULTS: We present a new library designed to display fully customizable interactive views between 1D positional features of protein and/or nucleic acid sequences and their 3D structures as isolated chains or components of macromolecular assemblies. AVAILABILITY AND IMPLEMENTATION: https://github.com/rcsb/rcsb-saguaro-3d. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-05-11 /pmc/articles/PMC9191206/ /pubmed/35543462 http://dx.doi.org/10.1093/bioinformatics/btac317 Text en © The Author(s) 2022. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Segura, Joan
Rose, Yana
Bittrich, Sebastian
Burley, Stephen K
Duarte, Jose M
RCSB Protein Data Bank 1D3D module: displaying positional features on macromolecular assemblies
title RCSB Protein Data Bank 1D3D module: displaying positional features on macromolecular assemblies
title_full RCSB Protein Data Bank 1D3D module: displaying positional features on macromolecular assemblies
title_fullStr RCSB Protein Data Bank 1D3D module: displaying positional features on macromolecular assemblies
title_full_unstemmed RCSB Protein Data Bank 1D3D module: displaying positional features on macromolecular assemblies
title_short RCSB Protein Data Bank 1D3D module: displaying positional features on macromolecular assemblies
title_sort rcsb protein data bank 1d3d module: displaying positional features on macromolecular assemblies
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191206/
https://www.ncbi.nlm.nih.gov/pubmed/35543462
http://dx.doi.org/10.1093/bioinformatics/btac317
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