ANARCI: antigen receptor numbering and receptor classification

被引：226

作者：

Dunbar, James ^{[1
]}

Deane, Charlotte M. ^{[1
]}

机构：

[1] Univ Oxford, Dept Stat, Oxford OX1 3TG, England

来源：

BIOINFORMATICS | 2016年 / 32卷 / 02期

基金：

英国工程与自然科学研究理事会;

关键词：

VARIABLE DOMAINS; IMMUNOGLOBULINS; DATABASE; TOOL;

D O I：

10.1093/bioinformatics/btv552

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：298 / 300

页数：3

共 12 条

[1] Analysis and improvements to Kabat and structurally correct numbering of antibody variable domains [J].