Immune Simulation

At Biointelix, we provide advanced immune simulation services to predict how the human immune system responds to designed vaccines, therapeutic proteins, or antigens. Using in silico modeling and computational immunology, we simulate antibody production, T-cell activation, and cytokine dynamics, helping researchers reduce experimental uncertainty and accelerate vaccine development.

What Is Immune Simulation

Immune simulation is the computational modeling of immune responses to a given antigen or vaccine candidate. It allows researchers to:

Predict B-cell and T-cell activation
Estimate antibody production
Analyze cytokine release profiles
Evaluate immune memory formation

This approach provides early insights into the potential efficacy and safety of a candidate before moving into laboratory testing.

Our Immune Simulation

1. Antigen Input & Epitope Integration

We integrate antigen sequence data and identified epitopes (B-cell, CTL, and HTL) into immune simulation models.

2. In Silico Immune Response Modeling

We use computational frameworks to simulate:

Primary and secondary immune responses
Antibody isotype switching (IgM → IgG)
T-cell mediated responses
Cytokine release and signaling cascades

Immunogenic strength
Long-term immune memory
Protective capacity against the target antigen

Modeling the Immune Response In Silico

The following graphs illustrate different aspects of the immune response triggered upon immunization with a specific antigen:

Antibody response

The first graph shows the kinetics of antibody production after antigen administration. It highlights the early rise of IgM as the primary antibody response, followed by the more sustained production of IgG. Within IgG, the subclasses IgG1 and IgG2 are displayed, demonstrating the class-switching process and the establishment of long-term humoral immunity.

B cell Population Dynamics

The second graph depicts the changes in B cell subsets after immunization. It shows the expansion of B memory cells, which are crucial for long-term protection, along with the differentiation of B cells into isotypes producing IgM, IgG1, and IgG2. This reflects how the immune system adapts to generate both immediate and memory responses against the antigen.

Cytokine Production

The third graph presents the levels of cytokines secreted following antigen exposure. Key cytokines include IFN-γ, IL-1, TGF-β, TNF-α, IL-10, IL-6, IFN-β, IL-18, and IL-23. These molecules orchestrate the immune response by promoting inflammation, regulating T and B cell activity, and balancing pro- and anti-inflammatory signals.

Together, these graphs provide a comprehensive overview of how the immune system responds to antigenic stimulation, spanning antibody generation, B cell differentiation, and cytokine signaling.

3. Vaccine Construct Evaluation

Designed multi-epitope vaccines are tested in silico to predict:

Immunogenic strength
Long-term immune memory
Protective capacity against the target antigen

4. Comparative Analysis

Different vaccine designs or antigen variants can be compared side-by-side to identify the most promising candidate for experimental validation.

Why Immune Simulation Matters

Reduce risk: Identify weak or unsafe candidates before preclinical testing.
Accelerate development: Shorten the design-to-validation pipeline.
Guide vaccine optimization: Fine-tune epitope selection and vaccine formulation.
Support translational research: Bridge computational predictions with experimental outcomes.

Applications

Vaccine design and optimization
Therapeutic protein development
Cancer immunotherapy modeling
Autoimmunity and allergy research

Why Choose Biointelix

Cutting-edge computational platforms for immune modeling
Expertise in epitope prediction and antigen design
Integrated workflow from antigen analysis → epitope mapping → immune simulation
Reliable insights for safer, faster vaccine and drug discovery

Partner With Us

With Biointelix Immune Simulation, you gain powerful insights into how your vaccine or therapeutic candidate may behave inside the human body—before stepping into the lab.