ANARCI

ANARCI annotates and numbers amino acid sequences of antibody and T-cell receptor variable domains to provide standardized residue numbering for sequence comparison and structural analysis.


Key Features:

  • Supported Numbering Schemes: Supports five numbering schemes—Kabat, Chothia, Enhanced Chothia, IMGT, and AHo—for annotating residue positions and defining position equivalence.
  • Sequence Classification and Numbering: Classifies antibody and T-cell receptor variable-domain sequences and assigns residue numbers according to the chosen numbering scheme.
  • Structural-Motif Recognition: Recognizes structural motifs characteristic of variable domains to inform accurate residue annotation.
  • Standardized Annotations: Produces standardized residue annotations that enable mapping equivalent positions across different numbering schemes and facilitate downstream analyses.
  • Consistency and Accuracy: Provides consistent and accurate numbering across diverse sequence inputs to support comparative and structural studies.

Scientific Applications:

  • Sequence Comparison: Enables comparison of antibody and T-cell receptor sequences by providing a common residue-numbering framework.
  • Protein Structure Modeling: Supplies standardized residue positions used in protein structure modeling and structural analysis of variable domains.
  • Antibody and TCR Engineering: Supports engineering and mutational analyses by precisely locating residues across different numbering schemes.
  • Comparative Numbering Analyses: Facilitates studies that require mapping and reconciling residue positions between Kabat, Chothia, Enhanced Chothia, IMGT, and AHo schemes.

Methodology:

ANARCI uses a classification algorithm that recognizes structural motifs in antibody and T-cell receptor variable-domain amino acid sequences and assigns residue numbers according to the selected numbering scheme (Kabat, Chothia, Enhanced Chothia, IMGT, AHo).

Topics

Collections

Details

Tool Type:
desktop application, web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Protein sequence analysis

Other operations do not define inputs or outputs.

Publications

Dunbar J, Deane CM. ANARCI: antigen receptor numbering and receptor classification. Bioinformatics. 2015;32(2):298-300. doi:10.1093/bioinformatics/btv552. PMID:26424857. PMCID:PMC4708101.

Documentation

Links