Ab-Ligity
Ab-Ligity identifies sequence-dissimilar antibodies that target the same epitope using structure-based analysis of antibody-antigen interfaces.
Key Features:
- Structure-Based Similarity Measure: Employs a structure-focused approach to compare antibody-antigen interfaces rather than relying on sequence similarity.
- Predicted Paratopes Utilization: Leverages predicted paratopes from model antibody structures to assess and identify antibodies binding highly similar epitopes.
- Performance Metrics: Reports high precision (0.95) and recall (0.69) for identifying antibodies that bind similar epitopes despite low sequence similarity.
- Comparative and Large-Scale Performance: Demonstrates improved performance relative to general protein-interface tools such as InterComp and provides a speed advantage suitable for immune-repertoire-scale analyses.
Scientific Applications:
- Explore Antibody Diversity: Identify structurally convergent antibodies with divergent sequences to study diverse solutions to the same epitope.
- Enhance Therapeutic Development: Detect alternative antibody candidates that target a desired epitope for therapeutic discovery and optimization.
- Immunological Research: Support immune-repertoire analyses and studies of antibody binding modes to understand immune protection and pathology.
Methodology:
Performs structure-based analysis of antibody-antigen interactions using predicted paratopes from model antibody structures and compares binding modes rather than sequence similarity.
Topics
Details
- License:
- BSD-3-Clause
- Tool Type:
- command-line tool
- Programming Languages:
- Python, C++
- Added:
- 1/18/2021
- Last Updated:
- 1/19/2021
Operations
Publications
Wong WK, Robinson SA, Bujotzek A, Georges G, Lewis AP, Shi J, Snowden J, Taddese B, Deane CM. Ab-Ligity: Identifying sequence-dissimilar antibodies that bind to the same epitope. Unknown Journal. 2020. doi:10.1101/2020.03.24.004051.