ReviewAnnual review of immunology2011
Systems biology in immunology: a computational modeling perspective.
Review in Annual review of immunology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
111 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Modeling Immunity In Vitro: Slices, Chips, and Engineered Tissues.Annual review of biomedical engineering · 2021Pooled it
- Boosting effect of high-dose influenza vaccination on innate immunity among elderly.JCI insight · 2025Trial
- Comparative Transcriptomic Analysis Reveals Shared Interferon-Associated Transcriptional Programs and Subset-Associated Immune Variation in Human cDC1 and cDC2 Cells Following TLR7 Activation.Cell biochemistry and biophysics · 2026Article
- Quantitative Modeling of TLR Signaling Reveals Missing Negative Feedback Guiding Identification of TANK-IKKε Checkpoint.bioRxiv : the preprint server for biology · 2026Article
- Digital twins to accelerate target identification and drug development for immune-mediated disorders.FEBS open bio · 2026Review
- What Is-and What Is Not-Immunogenic Cell Death? Functional Definitions, Experimental Standards, and Common Pitfalls.International journal of molecular sciences · 2026Review
- Review
- Context-dependent immune regulation: a mechanistic and AI-enabled integrative framework.Frontiers in immunology · 2026Review
- Amplification cycles through innate lymphoid cells at the onset of lupus nephritis.Frontiers in immunology · 2026Article
- Heterogeneous immune recovery after viral response through a dynamical model of feedback-driven persistence and clearance.Frontiers in immunology · 2026Article
- Mathematical Modeling in Cancer Metabolism: Tools for Translational Applications in Metabolism-Based Therapy.Advances in experimental medicine and biology · 2026Review
- Adaptive bandwidth of immunity: a systems-level framework for understanding immune regulation across time.Frontiers in immunology · 2026Review
- From genomes to interventions: computational strategies transforming parasitology.Frontiers in veterinary science · 2026Review
- Review
- CELLECT: contrastive embedding learning for large-scale efficient cell tracking.Nature methods · 2025Article
- Stereo-cell: Advancing spatial single-cell biology towards clinical translation.Clinical and translational medicine · 2025Article
- Multi-physiology modeling of the immune system in the era of precision immunotherapy.Frontiers in immunology · 2025Review
- Redefining Roles: A Paradigm Shift in Tryptophan-Kynurenine Metabolism for Innovative Clinical Applications.International journal of molecular sciences · 2024Review
- Article
- Integrating single-cell multi-omics and prior biological knowledge for a functional characterization of the immune system.Nature immunology · 2024Review
51 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Systems biology is an emerging discipline that combines high-content, multiplexed measurements with informatic and computational modeling methods to better understand biological function at various scales. Here we present a detailed review of the methods used to create computational models and to conduct simulations of immune function. We provide descriptions of the key data-gathering techniques employed to generate the quantitative and qualitative data required for such modeling and simulation and summarize the progress to date in applying these tools and techniques to questions of immunological interest, including infectious disease. We include comments on what insights modeling can provide that complement information obtained from the more familiar experimental discovery methods used by most investigators and the reasons why quantitative methods are needed to eventually produce a better understanding of immune system operation in health and disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.