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An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data

BACKGROUND: Superpositioning is an important problem in structural biology. Determining an optimal superposition requires a one-to-one correspondence between the atoms of two proteins structures. However, in practice, some atoms are missing from their original structures. Current superposition imple...

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Detalles Bibliográficos
Autores principales: Lu, Jianbo, Xu, Guoliang, Zhang, Shihua, Lu, Benzhuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915111/
https://www.ncbi.nlm.nih.gov/pubmed/27330544
http://dx.doi.org/10.1186/s13015-016-0079-3
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author Lu, Jianbo
Xu, Guoliang
Zhang, Shihua
Lu, Benzhuo
author_facet Lu, Jianbo
Xu, Guoliang
Zhang, Shihua
Lu, Benzhuo
author_sort Lu, Jianbo
collection PubMed
description BACKGROUND: Superpositioning is an important problem in structural biology. Determining an optimal superposition requires a one-to-one correspondence between the atoms of two proteins structures. However, in practice, some atoms are missing from their original structures. Current superposition implementations address the missing data crudely by ignoring such atoms from their structures. RESULTS: In this paper, we propose an effective method for superpositioning pairwise and multiple structures without sequence alignment. It is a two-stage procedure including data reduction and data registration. CONCLUSIONS: Numerical experiments demonstrated that our method is effective and efficient. The code package of protein structure superposition method for addressing the cases with missing data is implemented by MATLAB, and it is freely available from: http://sourceforge.net/projects/pssm123/files/?source=navbar ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13015-016-0079-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-49151112016-06-22 An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data Lu, Jianbo Xu, Guoliang Zhang, Shihua Lu, Benzhuo Algorithms Mol Biol Research BACKGROUND: Superpositioning is an important problem in structural biology. Determining an optimal superposition requires a one-to-one correspondence between the atoms of two proteins structures. However, in practice, some atoms are missing from their original structures. Current superposition implementations address the missing data crudely by ignoring such atoms from their structures. RESULTS: In this paper, we propose an effective method for superpositioning pairwise and multiple structures without sequence alignment. It is a two-stage procedure including data reduction and data registration. CONCLUSIONS: Numerical experiments demonstrated that our method is effective and efficient. The code package of protein structure superposition method for addressing the cases with missing data is implemented by MATLAB, and it is freely available from: http://sourceforge.net/projects/pssm123/files/?source=navbar ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13015-016-0079-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-06-21 /pmc/articles/PMC4915111/ /pubmed/27330544 http://dx.doi.org/10.1186/s13015-016-0079-3 Text en © The Author(s) 2016 Open AccessThis 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 Research
Lu, Jianbo
Xu, Guoliang
Zhang, Shihua
Lu, Benzhuo
An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data
title An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data
title_full An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data
title_fullStr An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data
title_full_unstemmed An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data
title_short An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data
title_sort effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915111/
https://www.ncbi.nlm.nih.gov/pubmed/27330544
http://dx.doi.org/10.1186/s13015-016-0079-3
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