ANARCI: antigen receptor numbering and receptor classification
ANARCI: antigen receptor numbering and receptor classification
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DOI：
10.1093/bioinformatics/btv552
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发表时间：
2016-01-15
期刊：
影响因子：
5.8
通讯作者：
Deane, Charlotte M.
中科院分区：
文献类型：
--
作者：
Dunbar, James;Deane, Charlotte M.
动机：抗体氨基酸序列可以编号以鉴定等同位置。这种注释对于抗体序列比较、蛋白质结构建模和工程化是有价值的。存在多种不同的编号方案，它们在用于注释残基位置的命名法、它们对位置等价性的定义以及它们在不同科学学科中的受欢迎程度方面有所不同。然而，目前没有公开可用的软件存在，可以应用所有最广泛使用的计划或可执行文件可以获得下一个开放licens.Results：ANARCI是一个工具来分类和编号抗体和T细胞受体氨基酸可变结构域序列。它可以用五种最流行的编号方案注释序列：Kabat，Chothia，Enhanced Chothia，IMGT和AHo。
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.