ANARCI: antigen receptor numbering and receptor classification
<p style="text-align:justify;"> <b>Motivation:</b> 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 sc...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
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Oxford University Press
2015
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| _version_ | 1797102165890695168 |
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| author | Dunbar, J Deane, C |
| author_facet | Dunbar, J Deane, C |
| author_sort | Dunbar, J |
| collection | OXFORD |
| description | <p style="text-align:justify;"> <b>Motivation:</b> 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.<br/><br/> <b>Results:</b> 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.<br/><br/> <b>Availability and implementation:</b> 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. </p> |
| first_indexed | 2024-03-07T06:02:05Z |
| format | Journal article |
| id | oxford-uuid:ec8c1159-ad76-4976-a204-6952da0c5f0d |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:02:05Z |
| publishDate | 2015 |
| publisher | Oxford University Press |
| record_format | dspace |
| spelling | oxford-uuid:ec8c1159-ad76-4976-a204-6952da0c5f0d2022-03-27T11:18:22ZANARCI: antigen receptor numbering and receptor classificationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ec8c1159-ad76-4976-a204-6952da0c5f0dEnglishSymplectic Elements at OxfordOxford University Press2015Dunbar, JDeane, C <p style="text-align:justify;"> <b>Motivation:</b> 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.<br/><br/> <b>Results:</b> 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.<br/><br/> <b>Availability and implementation:</b> 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. </p> |
| spellingShingle | Dunbar, J Deane, C 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 |
| work_keys_str_mv | AT dunbarj anarciantigenreceptornumberingandreceptorclassification AT deanec anarciantigenreceptornumberingandreceptorclassification |