Paratome

Structural alignment-based identification of antibody antigen-binding regions

Paratome identifies antigen-binding regions (ABRs) in antibodies from sequence or 3D structure (PDB format) input. It predicts binding residues by aligning query antibodies to consensus ABRs derived from structural alignments of a non-redundant set of antibody–antigen complexes, extending beyond complementarity-determining regions (CDRs).

Key Features:

• Consensus ABR Prediction: Detects antigen-binding regions using structural alignments of known antibody–antigen complexes, capturing binding residues outside classical CDRs.
• Sequence and Structure Input: Accepts antibody amino acid sequences or 3D structures (PDB format) for ABR mapping.
• Validated Accuracy: Achieves 94% accuracy in identifying antigen-binding residues on independent antibody–antigen complex datasets.

Scientific Applications:

• Antibody Engineering and Immunological Analysis: Supports mapping of antigen-binding residues for studies of antibody–antigen interactions, therapeutic antibody design, and vaccine research.

Methodology:

Paratome constructs consensus antigen-binding regions from structural alignments of a non-redundant set of antibody–antigen complexes and aligns query antibody sequences or structures to these consensus regions to predict antigen-binding residues.