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SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level
BACKGROUND: To understand the molecular function of biopolymers, studying their structural characteristics is of central importance. Graphics programs are often utilized to conceive these properties, but with the increasing number of available structures in databases or structure models produced by...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4728770/ https://www.ncbi.nlm.nih.gov/pubmed/26819632 http://dx.doi.org/10.1186/s13040-016-0083-7 |
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author | Heinke, Florian Bittrich, Sebastian Kaiser, Florian Labudde, Dirk |
author_facet | Heinke, Florian Bittrich, Sebastian Kaiser, Florian Labudde, Dirk |
author_sort | Heinke, Florian |
collection | PubMed |
description | BACKGROUND: To understand the molecular function of biopolymers, studying their structural characteristics is of central importance. Graphics programs are often utilized to conceive these properties, but with the increasing number of available structures in databases or structure models produced by automated modeling frameworks this process requires assistance from tools that allow automated structure visualization. In this paper a web server and its underlying method for generating graphical sequence representations of molecular structures is presented. RESULTS: The method, called SequenceCEROSENE (color encoding of residues obtained by spatial neighborhood embedding), retrieves the sequence of each amino acid or nucleotide chain in a given structure and produces a color coding for each residue based on three-dimensional structure information. From this, color-highlighted sequences are obtained, where residue coloring represent three-dimensional residue locations in the structure. This color encoding thus provides a one-dimensional representation, from which spatial interactions, proximity and relations between residues or entire chains can be deduced quickly and solely from color similarity. Furthermore, additional heteroatoms and chemical compounds bound to the structure, like ligands or coenzymes, are processed and reported as well. To provide free access to SequenceCEROSENE, a web server has been implemented that allows generating color codings for structures deposited in the Protein Data Bank or structure models uploaded by the user. Besides retrieving visualizations in popular graphic formats, underlying raw data can be downloaded as well. In addition, the server provides user interactivity with generated visualizations and the three-dimensional structure in question. CONCLUSIONS: Color encoded sequences generated by SequenceCEROSENE can aid to quickly perceive the general characteristics of a structure of interest (or entire sets of complexes), thus supporting the researcher in the initial phase of structure-based studies. In this respect, the web server can be a valuable tool, as users are allowed to process multiple structures, quickly switch between results, and interact with generated visualizations in an intuitive manner. The SequenceCEROSENE web server is available at https://biosciences.hs-mittweida.de/seqcerosene. |
format | Online Article Text |
id | pubmed-4728770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47287702016-01-27 SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level Heinke, Florian Bittrich, Sebastian Kaiser, Florian Labudde, Dirk BioData Min Software Article BACKGROUND: To understand the molecular function of biopolymers, studying their structural characteristics is of central importance. Graphics programs are often utilized to conceive these properties, but with the increasing number of available structures in databases or structure models produced by automated modeling frameworks this process requires assistance from tools that allow automated structure visualization. In this paper a web server and its underlying method for generating graphical sequence representations of molecular structures is presented. RESULTS: The method, called SequenceCEROSENE (color encoding of residues obtained by spatial neighborhood embedding), retrieves the sequence of each amino acid or nucleotide chain in a given structure and produces a color coding for each residue based on three-dimensional structure information. From this, color-highlighted sequences are obtained, where residue coloring represent three-dimensional residue locations in the structure. This color encoding thus provides a one-dimensional representation, from which spatial interactions, proximity and relations between residues or entire chains can be deduced quickly and solely from color similarity. Furthermore, additional heteroatoms and chemical compounds bound to the structure, like ligands or coenzymes, are processed and reported as well. To provide free access to SequenceCEROSENE, a web server has been implemented that allows generating color codings for structures deposited in the Protein Data Bank or structure models uploaded by the user. Besides retrieving visualizations in popular graphic formats, underlying raw data can be downloaded as well. In addition, the server provides user interactivity with generated visualizations and the three-dimensional structure in question. CONCLUSIONS: Color encoded sequences generated by SequenceCEROSENE can aid to quickly perceive the general characteristics of a structure of interest (or entire sets of complexes), thus supporting the researcher in the initial phase of structure-based studies. In this respect, the web server can be a valuable tool, as users are allowed to process multiple structures, quickly switch between results, and interact with generated visualizations in an intuitive manner. The SequenceCEROSENE web server is available at https://biosciences.hs-mittweida.de/seqcerosene. BioMed Central 2016-01-27 /pmc/articles/PMC4728770/ /pubmed/26819632 http://dx.doi.org/10.1186/s13040-016-0083-7 Text en © Heinke et al. 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Article Heinke, Florian Bittrich, Sebastian Kaiser, Florian Labudde, Dirk SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level |
title | SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level |
title_full | SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level |
title_fullStr | SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level |
title_full_unstemmed | SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level |
title_short | SequenceCEROSENE: a computational method and web server to visualize spatial residue neighborhoods at the sequence level |
title_sort | sequencecerosene: a computational method and web server to visualize spatial residue neighborhoods at the sequence level |
topic | Software Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4728770/ https://www.ncbi.nlm.nih.gov/pubmed/26819632 http://dx.doi.org/10.1186/s13040-016-0083-7 |
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