Systems Biology
Computational and mathematical modeling of biological networks, pathways, and phenotypes as interacting systems.
Core metadata
- ID: systems_biology
- Era: Modern
- First known date: 1977 (decade)
- Region: Global / multiple regions
- Review status: source_checked
- Maturity: established
Prerequisites
- Bioinformatics (bioinformatics)
- Mathematics (mathematics)
- Molecular Biology (molecular_biology)
- Probability & Statistical Inference (probability_statistics_inference)
Dependents
- Self-Organization Algorithms (self_organization_algorithms)
- Synthetic Biology (synthetic_biology)
- Techno-Gaianism (techno_gaianism)
Fields
Field lanes
- Genome Editing / CRISPR-Cas: Foundations
Node sources
- Computational systems biology (Nature / PubMed, 2002, official_agency) • Supports: node, maturity
Prerequisite edge evidence
Edge/source evidence summary:
- Prerequisite edges: 4
- Average edge confidence: 68%
- Prerequisite sources: 4
- expert_inference: 4
| Prerequisite | Type | Confidence | Evidence level | Note | Sources |
|---|---|---|---|---|---|
| Molecular Biology (molecular_biology) | enabling | 68% | expert_inference | Molecular Biology provides a capability that enables this technology without being the only possible path. |
|
| Bioinformatics (bioinformatics) | enabling | 68% | expert_inference | Bioinformatics provides a capability that enables this technology without being the only possible path. |
|
| Mathematics (mathematics) | enabling | 68% | expert_inference | Mathematics provides a capability that enables this technology without being the only possible path. |
|
| Probability & Statistical Inference (probability_statistics_inference) | enabling | 68% | expert_inference | Probability & Statistical Inference provides a capability that enables this technology without being the only possible path. |
|
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