Strategic Objectives
• Decode the complex metabolic networks of any living organism.
• Predict cellular behavior using advanced constraint-based modeling techniques.
• Accelerate drug discovery and metabolic engineering through virtual simulations.
• Transition from reductionist biology to a holistic systems-level perspective.
The Core Challenge
Traditional biology focuses on isolated genes, leaving scientists overwhelmed by the complexity of cellular interactions and unpredictable metabolic outcomes.
01
The Holistic Cell
02
The Language of Metabolism
03
Genomics as a Data Source
04
Network Reconstruction
05
Stoichiometry and Balance
06
Constraint-Based Modeling
07
Flux Balance Analysis
08
Mathematical Foundations
09
Gene-Protein-Reaction Associations
10
Defining the Objective Function
11
The Biomass Objective
12
Regulatory Constraints
13
Steady-State Assumptions
14
Data Integration
15
The Microbiome Lens
16
Metabolic Engineering
17
Drug Discovery Applications
18
Software Ecosystems
19
Model Validation
20
Thermodynamics in GEMs
21
The Future of Digital Life
Explore Research Ecosystem
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