Mechanistic Multicellular Model of the Human Immune System Across 11 Diseases

A logic-based mechanistic model integrates 88 immune cell types and subtypes, 37 secretory factors, and 1,450 regulatory interactions derived from 449 publications. It simulates 11 disease conditions, including nine pathogens, type 1 diabetes, and lung transplantation. The model was validated against 38 independent experiments and is openly available on Cell Collective and as an SBML file.

Use Cases

• Simulate pathogen-specific immune responses based on the model's integration of 88 cell types and 1,450 interactions.
• Predict outcomes for coinfection scenarios based on the validated modeling of synergistic and antagonistic effects.
• Generate testable hypotheses for experimental follow-up based on the structured catalog of falsifiable predictions.
• Build patient-specific clinical applications based on the model's framework for an immune digital twin.

Strengths

• Model integrates data from 449 publications, suggesting a broad evidence base.
• Validated against 38 independent experiments with reported agreement of 75% to 90%.
• Covers 11 distinct disease contexts, indicating potential for generalization.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 2.2 MB file size suggests the dataset is small, potentially limiting the scope of included data.

Provenance

Source

Robert Moore via figshare.

Collection Method

Constructed from human experimental data extracted from 449 publications.

Freshness

Last updated 2026-05-11 05:25:24; freshness should be verified.