Cargando…

Structural homology guided alignment of cysteine rich proteins

BACKGROUND: Cysteine rich protein families are notoriously difficult to align due to low sequence identity and frequent insertions and deletions. RESULTS: Here we present an alignment method that ensures homologous cysteines align by assigning a unique 10 amino acid barcode to those identified as st...

Descripción completa

Detalles Bibliográficos
Autores principales: Shafee, Thomas M. A., Robinson, Andrew J., van der Weerden, Nicole, Anderson, Marilyn A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709342/
https://www.ncbi.nlm.nih.gov/pubmed/26788439
http://dx.doi.org/10.1186/s40064-015-1609-z
_version_ 1782409622975414272
author Shafee, Thomas M. A.
Robinson, Andrew J.
van der Weerden, Nicole
Anderson, Marilyn A.
author_facet Shafee, Thomas M. A.
Robinson, Andrew J.
van der Weerden, Nicole
Anderson, Marilyn A.
author_sort Shafee, Thomas M. A.
collection PubMed
description BACKGROUND: Cysteine rich protein families are notoriously difficult to align due to low sequence identity and frequent insertions and deletions. RESULTS: Here we present an alignment method that ensures homologous cysteines align by assigning a unique 10 amino acid barcode to those identified as structurally homologous by the DALI webserver. The free inter-cysteine regions of the barcoded sequences can then be aligned using any standard algorithm. Finally the barcodes are replaced with the original columns to yield an alignment which requires the minimum of manual refinement. CONCLUSIONS: Using structural homology information to constrain sequence alignments allows the alignment of highly divergent, repetitive sequences that are poorly dealt with by existing algorithms. Tools are provided to perform this method online using the CysBar web-tool (http://CysBar.science.latrobe.edu.au) and offline (python script available from http://github.com/ts404/CysBar). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40064-015-1609-z) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4709342
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-47093422016-01-19 Structural homology guided alignment of cysteine rich proteins Shafee, Thomas M. A. Robinson, Andrew J. van der Weerden, Nicole Anderson, Marilyn A. Springerplus Software BACKGROUND: Cysteine rich protein families are notoriously difficult to align due to low sequence identity and frequent insertions and deletions. RESULTS: Here we present an alignment method that ensures homologous cysteines align by assigning a unique 10 amino acid barcode to those identified as structurally homologous by the DALI webserver. The free inter-cysteine regions of the barcoded sequences can then be aligned using any standard algorithm. Finally the barcodes are replaced with the original columns to yield an alignment which requires the minimum of manual refinement. CONCLUSIONS: Using structural homology information to constrain sequence alignments allows the alignment of highly divergent, repetitive sequences that are poorly dealt with by existing algorithms. Tools are provided to perform this method online using the CysBar web-tool (http://CysBar.science.latrobe.edu.au) and offline (python script available from http://github.com/ts404/CysBar). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40064-015-1609-z) contains supplementary material, which is available to authorized users. Springer International Publishing 2016-01-12 /pmc/articles/PMC4709342/ /pubmed/26788439 http://dx.doi.org/10.1186/s40064-015-1609-z Text en © Shafee et al. 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.
spellingShingle Software
Shafee, Thomas M. A.
Robinson, Andrew J.
van der Weerden, Nicole
Anderson, Marilyn A.
Structural homology guided alignment of cysteine rich proteins
title Structural homology guided alignment of cysteine rich proteins
title_full Structural homology guided alignment of cysteine rich proteins
title_fullStr Structural homology guided alignment of cysteine rich proteins
title_full_unstemmed Structural homology guided alignment of cysteine rich proteins
title_short Structural homology guided alignment of cysteine rich proteins
title_sort structural homology guided alignment of cysteine rich proteins
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709342/
https://www.ncbi.nlm.nih.gov/pubmed/26788439
http://dx.doi.org/10.1186/s40064-015-1609-z
work_keys_str_mv AT shafeethomasma structuralhomologyguidedalignmentofcysteinerichproteins
AT robinsonandrewj structuralhomologyguidedalignmentofcysteinerichproteins
AT vanderweerdennicole structuralhomologyguidedalignmentofcysteinerichproteins
AT andersonmarilyna structuralhomologyguidedalignmentofcysteinerichproteins