Network representation
Choose nodes and interactions that preserve the mechanisms relevant to the biological question.
Side 205Side Studies / Research
Subject
Systems Biology
Purpose
Biological function studied as interacting networks of genes, proteins, metabolites, cells and feedback across multiple scales.
Structure
05 movesSystem mapV0
Components → constraints → flows → control → failure
Model interactions without losing the biology.
Systems biology asks how network structure, feedback and multiscale coupling generate phenotypes that cannot be understood from isolated components alone.
Dynamics & feedback
Model how regulatory loops, delays and nonlinear responses shape trajectories rather than only steady states.
Multiscale coupling
Link molecular events to cellular, tissue and organismal outcomes while keeping scale transitions explicit.
Perturbation & inference
Use interventions and time-series measurements to distinguish plausible network structures that fit static observations equally well.
Prediction & validation
Test whether a model predicts unseen perturbations and conditions rather than merely reproducing the data used to construct it.
Keep the boundaries visible.
network map ≠ mechanistic model
fit ≠ prediction
correlation network ≠ causal network
Questions that organize the Side.
Which biological details can be abstracted without changing the system behavior of interest?
How can competing network models be discriminated experimentally?
When does a systems model reveal mechanism rather than simply summarize high-dimensional data?
What should carry weight here?
Prefer perturbation, longitudinal data and out-of-sample validation; model complexity should be justified by predictive or explanatory gain.