# Systems Biology

> Systems biology integrates experimental data with mathematical modeling to understand biological behavior as emergent properties of interacting networks rather than isolated components. Genome-scale metabolic models reconstruct entire biochemical reaction networks from annotated genomes, enabling in silico prediction of gene knockouts for metabolic engineering and drug target identification. Network medicine maps disease genes onto protein-protein interaction networks, identifying drug repurposing opportunities based on network proximity between disease modules. Single-cell multi-omics simultaneously measures the transcriptome, proteome, and epigenome of individual cells, capturing the molecular logic of cell-state transitions. Systems biology is bridging the gap between molecular mechanism and whole-organism phenotype in medicine and biotechnology.

*Source: [https://selltoscientists.com/fields/systems-biology/](https://selltoscientists.com/fields/systems-biology/)*

**Researcher count:** 25,000
**Average funding:** $530K

## Subfields

- Network Biology
- Synthetic Biology
- Multi-Omics Integration
- Metabolic Modeling
- Cell-Cell Communication

## Key technologies

- Flux Balance Analysis
- Boolean Network Models
- Proteomics-Metabolomics Integration
- CRISPR Regulatory Screens
- Single-Cell Multi-Omics

## Top institutions

- Institute for Systems Biology Seattle
- ETH Zürich
- Broad Institute
- Babraham Institute
- Wellcome Sanger Institute

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