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SeSAW: balancing sequence and structural information in protein functional mapping
Motivation: Functional similarity between proteins is evident at both the sequence and structure levels. SeSAW is a web-based program for identifying functionally or evolutionarily conserved motifs in protein structures by locating sequence and structural similarities, and quantifying these at the l...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859130/ https://www.ncbi.nlm.nih.gov/pubmed/20299324 http://dx.doi.org/10.1093/bioinformatics/btq116 |
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author | Standley, Daron M. Yamashita, Reiko Kinjo, Akira R. Toh, Hiroyuki Nakamura, Haruki |
author_facet | Standley, Daron M. Yamashita, Reiko Kinjo, Akira R. Toh, Hiroyuki Nakamura, Haruki |
author_sort | Standley, Daron M. |
collection | PubMed |
description | Motivation: Functional similarity between proteins is evident at both the sequence and structure levels. SeSAW is a web-based program for identifying functionally or evolutionarily conserved motifs in protein structures by locating sequence and structural similarities, and quantifying these at the level of individual residues. Results can be visualized in 2D, as annotated alignments, or in 3D, as structural superpositions. An example is given for both an experimentally determined query structure and a homology model. Availability and Implementation: The web server is located at http://www.pdbj.org/SeSAW/ Contact: standley@ifrec.osaka-u.ac.jp |
format | Text |
id | pubmed-2859130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28591302010-04-26 SeSAW: balancing sequence and structural information in protein functional mapping Standley, Daron M. Yamashita, Reiko Kinjo, Akira R. Toh, Hiroyuki Nakamura, Haruki Bioinformatics Applications Note Motivation: Functional similarity between proteins is evident at both the sequence and structure levels. SeSAW is a web-based program for identifying functionally or evolutionarily conserved motifs in protein structures by locating sequence and structural similarities, and quantifying these at the level of individual residues. Results can be visualized in 2D, as annotated alignments, or in 3D, as structural superpositions. An example is given for both an experimentally determined query structure and a homology model. Availability and Implementation: The web server is located at http://www.pdbj.org/SeSAW/ Contact: standley@ifrec.osaka-u.ac.jp Oxford University Press 2010-05-01 2010-03-17 /pmc/articles/PMC2859130/ /pubmed/20299324 http://dx.doi.org/10.1093/bioinformatics/btq116 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Standley, Daron M. Yamashita, Reiko Kinjo, Akira R. Toh, Hiroyuki Nakamura, Haruki SeSAW: balancing sequence and structural information in protein functional mapping |
title | SeSAW: balancing sequence and structural information in protein functional mapping |
title_full | SeSAW: balancing sequence and structural information in protein functional mapping |
title_fullStr | SeSAW: balancing sequence and structural information in protein functional mapping |
title_full_unstemmed | SeSAW: balancing sequence and structural information in protein functional mapping |
title_short | SeSAW: balancing sequence and structural information in protein functional mapping |
title_sort | sesaw: balancing sequence and structural information in protein functional mapping |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859130/ https://www.ncbi.nlm.nih.gov/pubmed/20299324 http://dx.doi.org/10.1093/bioinformatics/btq116 |
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