Table 2.
Applications of systems biology with control theory.
| Author | Outcome | Sample Type | Omics Data Type | Main Outcome or Application | Method |
|---|---|---|---|---|---|
| [34] | Human astrocytes stimulated with palmitic acid | Cultured cells | Transcriptomic and proteomic | Identification of metabolic switches | FBA, FVA, MDS |
| [174] | Breast cancer | Cancer and normal samples | Based on previous GEMs [175] Transcriptomic and proteomic |
Identification of drug targets | Topological properties and power-law degree |
| [32] | Healthy and cancer states | Tissues | Based on previous GEMs (Basler et al. [29] and Gatto et al. [175]) | Differences in metabolic flux | PMDS |
| [176] | Hepatocellular carcinoma patients | Cancerous liver samples and non-affected tissue | Transcriptomic | Detection of tumor subtypes | FBA, minimum driver node sets—MDS |
| [29] | Breast, lung, renal, and urothelial cancers | 4 cancer and healthy sample networks | Based on previous GEMs [175] Transcriptomic and proteomic |
Reactions leading to cancer | Flux coupling |
| [101] | 15 cancer types | Normal and corresponding cancer cells | Transcriptomic | Identification of drug targets as driver nodes | MDS |