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ANARCI: antigen receptor numbering and receptor classification

Motivation: Antibody amino-acid sequences can be numbered to identify equivalent positions. Such annotations are valuable for antibody sequence comparison, protein structure modelling and engineering. Multiple different numbering schemes exist, they vary in the nomenclature they use to annotate resi...

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Detalles Bibliográficos
Autores principales: Dunbar, James, Deane, Charlotte M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4708101/
https://www.ncbi.nlm.nih.gov/pubmed/26424857
http://dx.doi.org/10.1093/bioinformatics/btv552
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author Dunbar, James
Deane, Charlotte M.
author_facet Dunbar, James
Deane, Charlotte M.
author_sort Dunbar, James
collection PubMed
description Motivation: Antibody amino-acid sequences can be numbered to identify equivalent positions. Such annotations are valuable for antibody sequence comparison, protein structure modelling and engineering. Multiple different numbering schemes exist, they vary in the nomenclature they use to annotate residue positions, their definitions of position equivalence and their popularity within different scientific disciplines. However, currently no publicly available software exists that can apply all the most widely used schemes or for which an executable can be obtained under an open license. Results: ANARCI is a tool to classify and number antibody and T-cell receptor amino-acid variable domain sequences. It can annotate sequences with the five most popular numbering schemes: Kabat, Chothia, Enhanced Chothia, IMGT and AHo. Availability and implementation: ANARCI is available for download under GPLv3 license at opig.stats.ox.ac.uk/webapps/anarci. A web-interface to the program is available at the same address. Contact: deane@stats.ox.ac.uk
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spelling pubmed-47081012016-01-12 ANARCI: antigen receptor numbering and receptor classification Dunbar, James Deane, Charlotte M. Bioinformatics Applications Notes Motivation: Antibody amino-acid sequences can be numbered to identify equivalent positions. Such annotations are valuable for antibody sequence comparison, protein structure modelling and engineering. Multiple different numbering schemes exist, they vary in the nomenclature they use to annotate residue positions, their definitions of position equivalence and their popularity within different scientific disciplines. However, currently no publicly available software exists that can apply all the most widely used schemes or for which an executable can be obtained under an open license. Results: ANARCI is a tool to classify and number antibody and T-cell receptor amino-acid variable domain sequences. It can annotate sequences with the five most popular numbering schemes: Kabat, Chothia, Enhanced Chothia, IMGT and AHo. Availability and implementation: ANARCI is available for download under GPLv3 license at opig.stats.ox.ac.uk/webapps/anarci. A web-interface to the program is available at the same address. Contact: deane@stats.ox.ac.uk Oxford University Press 2016-01-15 2015-09-30 /pmc/articles/PMC4708101/ /pubmed/26424857 http://dx.doi.org/10.1093/bioinformatics/btv552 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Dunbar, James
Deane, Charlotte M.
ANARCI: antigen receptor numbering and receptor classification
title ANARCI: antigen receptor numbering and receptor classification
title_full ANARCI: antigen receptor numbering and receptor classification
title_fullStr ANARCI: antigen receptor numbering and receptor classification
title_full_unstemmed ANARCI: antigen receptor numbering and receptor classification
title_short ANARCI: antigen receptor numbering and receptor classification
title_sort anarci: antigen receptor numbering and receptor classification
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4708101/
https://www.ncbi.nlm.nih.gov/pubmed/26424857
http://dx.doi.org/10.1093/bioinformatics/btv552
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