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Cloud4Psi: cloud computing for 3D protein structure similarity searching
Summary: Popular methods for 3D protein structure similarity searching, especially those that generate high-quality alignments such as Combinatorial Extension (CE) and Flexible structure Alignment by Chaining Aligned fragment pairs allowing Twists (FATCAT) are still time consuming. As a consequence,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173022/ https://www.ncbi.nlm.nih.gov/pubmed/24930141 http://dx.doi.org/10.1093/bioinformatics/btu389 |
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author | Mrozek, Dariusz Małysiak-Mrozek, Bożena Kłapciński, Artur |
author_facet | Mrozek, Dariusz Małysiak-Mrozek, Bożena Kłapciński, Artur |
author_sort | Mrozek, Dariusz |
collection | PubMed |
description | Summary: Popular methods for 3D protein structure similarity searching, especially those that generate high-quality alignments such as Combinatorial Extension (CE) and Flexible structure Alignment by Chaining Aligned fragment pairs allowing Twists (FATCAT) are still time consuming. As a consequence, performing similarity searching against large repositories of structural data requires increased computational resources that are not always available. Cloud computing provides huge amounts of computational power that can be provisioned on a pay-as-you-go basis. We have developed the cloud-based system that allows scaling of the similarity searching process vertically and horizontally. Cloud4Psi (Cloud for Protein Similarity) was tested in the Microsoft Azure cloud environment and provided good, almost linearly proportional acceleration when scaled out onto many computational units. Availability and implementation: Cloud4Psi is available as Software as a Service for testing purposes at: http://cloud4psi.cloudapp.net/. For source code and software availability, please visit the Cloud4Psi project home page at http://zti.polsl.pl/dmrozek/science/cloud4psi.htm. Contact: dariusz.mrozek@polsl.pl |
format | Online Article Text |
id | pubmed-4173022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-41730222014-09-25 Cloud4Psi: cloud computing for 3D protein structure similarity searching Mrozek, Dariusz Małysiak-Mrozek, Bożena Kłapciński, Artur Bioinformatics Applications Notes Summary: Popular methods for 3D protein structure similarity searching, especially those that generate high-quality alignments such as Combinatorial Extension (CE) and Flexible structure Alignment by Chaining Aligned fragment pairs allowing Twists (FATCAT) are still time consuming. As a consequence, performing similarity searching against large repositories of structural data requires increased computational resources that are not always available. Cloud computing provides huge amounts of computational power that can be provisioned on a pay-as-you-go basis. We have developed the cloud-based system that allows scaling of the similarity searching process vertically and horizontally. Cloud4Psi (Cloud for Protein Similarity) was tested in the Microsoft Azure cloud environment and provided good, almost linearly proportional acceleration when scaled out onto many computational units. Availability and implementation: Cloud4Psi is available as Software as a Service for testing purposes at: http://cloud4psi.cloudapp.net/. For source code and software availability, please visit the Cloud4Psi project home page at http://zti.polsl.pl/dmrozek/science/cloud4psi.htm. Contact: dariusz.mrozek@polsl.pl Oxford University Press 2014-10 2014-06-14 /pmc/articles/PMC4173022/ /pubmed/24930141 http://dx.doi.org/10.1093/bioinformatics/btu389 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Mrozek, Dariusz Małysiak-Mrozek, Bożena Kłapciński, Artur Cloud4Psi: cloud computing for 3D protein structure similarity searching |
title | Cloud4Psi: cloud computing for 3D protein structure similarity searching |
title_full | Cloud4Psi: cloud computing for 3D protein structure similarity searching |
title_fullStr | Cloud4Psi: cloud computing for 3D protein structure similarity searching |
title_full_unstemmed | Cloud4Psi: cloud computing for 3D protein structure similarity searching |
title_short | Cloud4Psi: cloud computing for 3D protein structure similarity searching |
title_sort | cloud4psi: cloud computing for 3d protein structure similarity searching |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173022/ https://www.ncbi.nlm.nih.gov/pubmed/24930141 http://dx.doi.org/10.1093/bioinformatics/btu389 |
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