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
Outputs
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.