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GuiTope: an application for mapping random-sequence peptides to protein sequences
BACKGROUND: Random-sequence peptide libraries are a commonly used tool to identify novel ligands for binding antibodies, other proteins, and small molecules. It is often of interest to compare the selected peptide sequences to the natural protein binding partners to infer the exact binding site or t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280184/ https://www.ncbi.nlm.nih.gov/pubmed/22214541 http://dx.doi.org/10.1186/1471-2105-13-1 |
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author | Halperin, Rebecca F Stafford, Phillip Emery, Jack S Navalkar, Krupa Arun Johnston, Stephen Albert |
author_facet | Halperin, Rebecca F Stafford, Phillip Emery, Jack S Navalkar, Krupa Arun Johnston, Stephen Albert |
author_sort | Halperin, Rebecca F |
collection | PubMed |
description | BACKGROUND: Random-sequence peptide libraries are a commonly used tool to identify novel ligands for binding antibodies, other proteins, and small molecules. It is often of interest to compare the selected peptide sequences to the natural protein binding partners to infer the exact binding site or the importance of particular residues. The ability to search a set of sequences for similarity to a set of peptides may sometimes enable the prediction of an antibody epitope or a novel binding partner. We have developed a software application designed specifically for this task. RESULTS: GuiTope provides a graphical user interface for aligning peptide sequences to protein sequences. All alignment parameters are accessible to the user including the ability to specify the amino acid frequency in the peptide library; these frequencies often differ significantly from those assumed by popular alignment programs. It also includes a novel feature to align di-peptide inversions, which we have found improves the accuracy of antibody epitope prediction from peptide microarray data and shows utility in analyzing phage display datasets. Finally, GuiTope can randomly select peptides from a given library to estimate a null distribution of scores and calculate statistical significance. CONCLUSIONS: GuiTope provides a convenient method for comparing selected peptide sequences to protein sequences, including flexible alignment parameters, novel alignment features, ability to search a database, and statistical significance of results. The software is available as an executable (for PC) at http://www.immunosignature.com/software and ongoing updates and source code will be available at sourceforge.net. |
format | Online Article Text |
id | pubmed-3280184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32801842012-02-16 GuiTope: an application for mapping random-sequence peptides to protein sequences Halperin, Rebecca F Stafford, Phillip Emery, Jack S Navalkar, Krupa Arun Johnston, Stephen Albert BMC Bioinformatics Software BACKGROUND: Random-sequence peptide libraries are a commonly used tool to identify novel ligands for binding antibodies, other proteins, and small molecules. It is often of interest to compare the selected peptide sequences to the natural protein binding partners to infer the exact binding site or the importance of particular residues. The ability to search a set of sequences for similarity to a set of peptides may sometimes enable the prediction of an antibody epitope or a novel binding partner. We have developed a software application designed specifically for this task. RESULTS: GuiTope provides a graphical user interface for aligning peptide sequences to protein sequences. All alignment parameters are accessible to the user including the ability to specify the amino acid frequency in the peptide library; these frequencies often differ significantly from those assumed by popular alignment programs. It also includes a novel feature to align di-peptide inversions, which we have found improves the accuracy of antibody epitope prediction from peptide microarray data and shows utility in analyzing phage display datasets. Finally, GuiTope can randomly select peptides from a given library to estimate a null distribution of scores and calculate statistical significance. CONCLUSIONS: GuiTope provides a convenient method for comparing selected peptide sequences to protein sequences, including flexible alignment parameters, novel alignment features, ability to search a database, and statistical significance of results. The software is available as an executable (for PC) at http://www.immunosignature.com/software and ongoing updates and source code will be available at sourceforge.net. BioMed Central 2012-01-03 /pmc/articles/PMC3280184/ /pubmed/22214541 http://dx.doi.org/10.1186/1471-2105-13-1 Text en Copyright ©2012 Halperin 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 Halperin, Rebecca F Stafford, Phillip Emery, Jack S Navalkar, Krupa Arun Johnston, Stephen Albert GuiTope: an application for mapping random-sequence peptides to protein sequences |
title | GuiTope: an application for mapping random-sequence peptides to protein sequences |
title_full | GuiTope: an application for mapping random-sequence peptides to protein sequences |
title_fullStr | GuiTope: an application for mapping random-sequence peptides to protein sequences |
title_full_unstemmed | GuiTope: an application for mapping random-sequence peptides to protein sequences |
title_short | GuiTope: an application for mapping random-sequence peptides to protein sequences |
title_sort | guitope: an application for mapping random-sequence peptides to protein sequences |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280184/ https://www.ncbi.nlm.nih.gov/pubmed/22214541 http://dx.doi.org/10.1186/1471-2105-13-1 |
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