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Bioinformatics. 2016 Jan 15;32(2):298-300. doi: 10.1093/bioinformatics/btv552. Epub 2015 Sep 30.

ANARCI: antigen receptor numbering and receptor classification.

Author information

1
Department of Statistics, Oxford University, Oxford, UK.

Abstract

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.

PMID:
26424857
PMCID:
PMC4708101
DOI:
10.1093/bioinformatics/btv552
[Indexed for MEDLINE]
Free PMC Article

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