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Antibody-Antigen Interaction Modeling Service

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Antibody-Antigen Interaction Modeling Service

Antibody-antigen interaction modeling · immunology & biotherapeutics

Antibody-Antigen Interaction Modeling Service

CD ComputaBio provides specialized antibody-antigen interaction modeling to characterize paratope-epitope interfaces, predict binding affinity, map critical contacts, and support antibody engineering and design. We combine structural modeling, docking, molecular dynamics, and free energy methods to deliver actionable insights for therapeutic antibody development.

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Paratope-epitope mapping Affinity & binding energy Interface hotspot analysis Antibody design & engineering

From sequence to structure and interactionWe model antibody-antigen complexes from sequences or structures, predict binding modes, and analyze the molecular interface.

Tailored to therapeutic developmentWhether you need affinity maturation, epitope mapping, or developability assessment, we design the analysis to support your pipeline.

Actionable reports for engineeringDeliverables include interface residue tables, binding energy decomposition, hotspot identification, and mutation recommendations.

Antibody-Antigen Interaction Modeling – Service Scope

Structure prediction

Antibody-antigen complex modeling

Model the 3D structure of antibody-antigen complexes using homology modeling, docking, or hybrid approaches.

Paratope-epitope prediction
CDR loop modeling
Complex structure refinement

Binding affinity

Affinity prediction & ranking

Predict binding free energies and rank antibody variants or antigen mutants using MM-GBSA, FEP, or empirical scoring.

MM-GBSA binding energy
Free energy perturbation (FEP)
Variant ranking

Interface analysis

Paratope-epitope mapping

Identify critical residues at the antibody-antigen interface, including H-bonds, hydrophobic contacts, and salt bridges.

Contact map
Hotspot identification
Interaction fingerprint

Dynamics

MD simulation of antibody-antigen

Simulate the dynamic behavior of antibody-antigen complexes to assess stability, conformational changes, and binding kinetics.

RMSD, RMSF, B-factor
Interface dynamics
Conformational sampling

Design

Antibody engineering & optimization

Provide rational design suggestions for affinity maturation, specificity switching, or developability improvement.

Mutation recommendations
CDR grafting
Framework optimization

Epitope mapping

Epitope & paratope prediction

Predict linear and conformational epitopes, and map paratope residues involved in antigen recognition.

Epitope prediction algorithms
Paratope identification
Cross-reactivity analysis

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Core Modeling Methods

Structure

Homology & ab initio modeling

Build antibody and antigen structures from sequences using template-based or ab initio methods.

Template selection
CDR loop modeling
Model quality assessment

Docking

Antibody-antigen docking

Predict the binding orientation and complex structure using specialized antibody-antigen docking algorithms.

Rigid and flexible docking
Interface refinement
Scoring and ranking

Energy

Binding free energy calculation

Estimate binding affinity using MM-GBSA, MMPBSA, or free energy perturbation methods.

Relative binding energy
Energy decomposition
Variant ranking

Dynamics

Molecular dynamics simulation

Simulate antibody-antigen complexes to study dynamics, stability, and conformational ensembles.

Explicit solvent MD
Trajectory analysis
Conformational clustering

Interface

Interface hotspot analysis

Identify energetically important residues at the antibody-antigen interface using computational alanine scanning.

Alanine scanning
Binding energy decomposition
Hotspot ranking

Design

In silico antibody engineering

Design antibody variants with improved affinity, specificity, or developability using structure-based methods.

CDR optimization
Framework stabilization
Design validation

Choose the Right Modeling Method

Antibody-Antigen Modeling Workflow

Project definition

Define the antibody and antigen sequences/structures, the specific modeling question (affinity, interface, design), and the intended application.

Structure preparation & modeling

Build or prepare antibody and antigen structures, assign protonation states, and set up the complex.

Interaction modeling & analysis

Run docking, MD, free energy calculations, or interface analysis as per project scope.

Interpretation & reporting

Compile interface maps, energy values, dynamics data, and provide rational design recommendations.

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Which Antibody-Antigen Modeling Fits Your Question?

Research Question	Recommended Analysis	Key Outputs	Decision Support
How does the antibody bind the antigen?	Complex modeling + interface analysis	Binding mode, paratope-epitope map, contacts	Understand mechanism, guide engineering
Which antibody variant has higher affinity?	Binding free energy calculation (MM-GBSA/FEP)	Relative binding energies, ranking	Select lead candidates for testing
What are the key residues for binding?	Hotspot analysis (alanine scanning)	Energy contribution per residue, hotspots	Guide mutagenesis, affinity maturation
How does antigen mutation affect binding?	Complex modeling + energy calculation	Binding energy change, interface perturbation	Explain escape mutants, cross-reactivity
Can we improve antibody stability or affinity?	Structure-based design + MD validation	Mutation suggestions, stability assessment	Lead optimization, developability

Match a Method to My Question

Inputs Required

Antibody and antigen sequences (FASTA) or 3D structures (PDB)
Target modeling objective: binding mode, affinity, interface, design
Known binding data or experimental constraints (optional)
Antibody variant sequences or antigen mutants to compare
Specific requirements for CDR, framework, or epitope regions

Deliverables

Antibody-antigen complex structure (modeled or refined)
Paratope-epitope interface map with contact details
Binding free energy estimates and variant rankings
Hotspot residues and mutation recommendations
MD trajectory analysis (if applicable)
Interactive 3D visualization files
Technical report with figures, tables, and design suggestions

Check Your Input Data

Example Applications in Antibody Development

Case 1

Affinity maturation of a therapeutic antibody

Using MD simulation and MM-GBSA, we identified a hotspot residue in CDR-H3. A single mutation improved predicted affinity by 2.5 kcal/mol, which was confirmed by SPR (KD improved from 12 nM to 1.2 nM).

Case 2

Epitope mapping for biosimilar development

We modeled the antibody-antigen complex and mapped the conformational epitope, identifying critical residues for binding. This supported biosimilar characterization and regulatory submission.

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Frequently Asked Questions

What is antibody-antigen interaction modeling?

It is a computational approach to predict and analyze the structural and energetic basis of antibody-antigen recognition, including binding mode, affinity, and interface hotspots.

What input is needed for antibody modeling?

We need antibody and antigen sequences (FASTA) or 3D structures. Additional data like binding affinities or epitope information can improve accuracy.

Can you predict antibody-antigen binding affinity?

Yes, we use MM-GBSA, MMPBSA, and free energy perturbation (FEP) to estimate binding affinities and rank antibody variants.

How does modeling help antibody engineering?

It identifies key residues for binding, guides affinity maturation, predicts the impact of mutations, and supports developability assessment.

Can you model antibody-antigen complexes from sequences?

Yes, we can build homology models of antibodies and antigens and then dock or refine the complex structure.

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Related Services

Ready to Engineer Better Antibodies?

Share your antibody and antigen sequences or structures, and our team will design a tailored interaction modeling plan to accelerate your therapeutic development.

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