PIGSpro

PIGSpro models immunoglobulin variable domains using the canonical structure method to generate three-dimensional antibody structures for structural and functional analysis.

Key Features:

• Automated 3D modeling: Constructs three-dimensional models of immunoglobulin variable domains.
• Canonical structure method: Applies the canonical structure model to predict main chain conformations of hypervariable loops.
• Framework selection by homology: Selects appropriate frameworks for conserved regions of immunoglobulins by homology.
• Template alignment: Aligns target templates to selected frameworks to optimize structural prediction.
• H3 loop prediction: Predicts the third loop (H3) of the heavy chain, addressing a region where complete canonical structures were previously unavailable.
• Chain packing: Packs light and heavy chains derived from different templates to assemble coherent antibody structures.
• Updated modeling methods: Incorporates updated methods developed over time to enhance prediction accuracy.
• Automatic monthly database update: Maintains an automatic monthly update mechanism for the underlying database.

Scientific Applications:

• Antibody structure prediction: Generates models of immunoglobulin variable domains for structural interpretation.
• Immunology research: Supports studies of antibody specificity and binding.
• Structural biology: Enables structural analysis of immunoglobulins at the domain level.
• Therapeutic development: Supports therapeutic development involving antibodies.
• Basic research: Supports basic research on antibody structure–function relationships.

Methodology:

Computational steps explicitly include framework selection by homology, template alignment to selected frameworks, application of the canonical structure model to predict hypervariable loop main chain conformations, H3 loop prediction, and packing of light and heavy chains from different templates.