Systems Biology and Networks

Mathematical and computational modeling of biological networks and pathways to understand complex cellular behavior and emergent system properties

Systems Biology and Networks

Overview

Systems biology integrates experimental data with computational models to understand how biological components interact at the systems level. Network analysis reveals how genes, proteins, and metabolites are functionally connected.

Key Topics

  • Gene regulatory network modeling
  • Protein-protein interaction (PPI) networks
  • Metabolic flux balance analysis (FBA)
  • Signal transduction pathway modeling
  • Network topology and hub gene analysis
  • Multi-omics data integration

Applications

  • Identifying drug targets in disease networks
  • Metabolic engineering
  • Understanding antibiotic resistance
  • Systems-level biomarker discovery