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Species-specific analysis of protein sequence motifs using mutual information
BACKGROUND: Protein sequence motifs are by definition short fragments of conserved amino acids, often associated with a specific function. Accordingly protein sequence profiles derived from multiple sequence alignments provide an alternative description of functional motifs characterizing families o...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1182352/ https://www.ncbi.nlm.nih.gov/pubmed/15987530 http://dx.doi.org/10.1186/1471-2105-6-164 |
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author | Hummel, Jan Keshvari, Nima Weckwerth, Wolfram Selbig, Joachim |
author_facet | Hummel, Jan Keshvari, Nima Weckwerth, Wolfram Selbig, Joachim |
author_sort | Hummel, Jan |
collection | PubMed |
description | BACKGROUND: Protein sequence motifs are by definition short fragments of conserved amino acids, often associated with a specific function. Accordingly protein sequence profiles derived from multiple sequence alignments provide an alternative description of functional motifs characterizing families of related sequences. Such profiles conveniently reflect functional necessities by pointing out proximity at conserved sequence positions as well as depicting distances at variable positions. Discovering significant conservation characteristics within the variable positions of profiles mirrors group-specific and, in particular, evolutionary features of the underlying sequences. RESULTS: We describe the tool PROfile analysis based on Mutual Information (PROMI) that enables comparative analysis of user-classified protein sequences. PROMI is implemented as a web service using Perl and R as well as other publicly available packages and tools on the server-side. On the client-side platform-independence is achieved by generally applied internet delivery standards. As one possible application analysis of the zinc finger C(2)H(2)-type protein domain is introduced to illustrate the functionality of the tool. CONCLUSION: The web service PROMI should assist researchers to detect evolutionary correlations in protein profiles of defined biological sequences. It is available at where additional documentation can be found. |
format | Text |
id | pubmed-1182352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-11823522005-08-04 Species-specific analysis of protein sequence motifs using mutual information Hummel, Jan Keshvari, Nima Weckwerth, Wolfram Selbig, Joachim BMC Bioinformatics Software BACKGROUND: Protein sequence motifs are by definition short fragments of conserved amino acids, often associated with a specific function. Accordingly protein sequence profiles derived from multiple sequence alignments provide an alternative description of functional motifs characterizing families of related sequences. Such profiles conveniently reflect functional necessities by pointing out proximity at conserved sequence positions as well as depicting distances at variable positions. Discovering significant conservation characteristics within the variable positions of profiles mirrors group-specific and, in particular, evolutionary features of the underlying sequences. RESULTS: We describe the tool PROfile analysis based on Mutual Information (PROMI) that enables comparative analysis of user-classified protein sequences. PROMI is implemented as a web service using Perl and R as well as other publicly available packages and tools on the server-side. On the client-side platform-independence is achieved by generally applied internet delivery standards. As one possible application analysis of the zinc finger C(2)H(2)-type protein domain is introduced to illustrate the functionality of the tool. CONCLUSION: The web service PROMI should assist researchers to detect evolutionary correlations in protein profiles of defined biological sequences. It is available at where additional documentation can be found. BioMed Central 2005-06-29 /pmc/articles/PMC1182352/ /pubmed/15987530 http://dx.doi.org/10.1186/1471-2105-6-164 Text en Copyright © 2005 Hummel et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Hummel, Jan Keshvari, Nima Weckwerth, Wolfram Selbig, Joachim Species-specific analysis of protein sequence motifs using mutual information |
title | Species-specific analysis of protein sequence motifs using mutual information |
title_full | Species-specific analysis of protein sequence motifs using mutual information |
title_fullStr | Species-specific analysis of protein sequence motifs using mutual information |
title_full_unstemmed | Species-specific analysis of protein sequence motifs using mutual information |
title_short | Species-specific analysis of protein sequence motifs using mutual information |
title_sort | species-specific analysis of protein sequence motifs using mutual information |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1182352/ https://www.ncbi.nlm.nih.gov/pubmed/15987530 http://dx.doi.org/10.1186/1471-2105-6-164 |
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