Linked from

The 26 pages that link to Systems biology, each with the reason it gives.

• Molecular biologyNarrower topic: It builds broader network-level explanations from molecular components and interactions.

• VitalismRelated: It explains organized living behavior through networks and interactions rather than a separate life principle.

• PhysiologyRelated: Systems biology overlaps with physiology but emphasizes integrated networks and predictive modeling.

• Signal transductionNarrower topic: It provides models for understanding pathway behavior beyond isolated molecular interactions.

• Systems theoryRelated: It applies system-level analysis to explain how molecular interactions produce biological functions.

• Drug targetRelated: Network-level effects can complicate predictions based on a single target.

• MetabolomicsNarrower topic: Metabolomics supplies molecular measurements for models integrating multiple biological layers.

• Organ systemRelated: It extends organ-system thinking to interactions spanning molecules, cells, and organisms.

• BiomedicineRelated: It helps model disease processes that span genes, cells, organs, and environments.

• Metabolic engineeringCompared with: It analyzes cellular networks; metabolic engineering deliberately changes them.

• BiophysicsRelated: Quantitative physical models help connect molecular parts to system-level behavior.

• BiologyRelated: It connects molecular mechanisms to larger patterns of cellular and organismal behavior.

• OrganicismBroader topic: It applies relational, whole-system analysis to modern biological research.

• Chemical biologyCompared with: Systems biology often models integrated behavior, while chemical biology supplies targeted molecular perturbations.

• HolismBroader topic: It applies system-level analysis to networks of genes, proteins, cells, and organisms.

• Computational biologyRelated: It uses computational models to explain how molecular interactions produce system-level behavior.

• Boolean networkNarrower topic: Boolean networks are a discrete modeling approach used to study interacting biological processes.

• Biological engineeringRelated: It maps the networks that engineers seek to understand and alter.

• Biological network methodsNarrower topic: Network methods provide a central framework for integrating system-wide biological data.

• Biomolecular & subcellular processesNarrower topic: It seeks to explain how many molecular activities combine into cellular behavior.

• BionicsNarrower topic: Understanding interacting biological parts can reveal the functions bionic designs seek to reproduce.

• Body & organ systemsCompared with: It models interactions across scales rather than grouping structures primarily by anatomy.

• Cellular organization, physiology & dynamicsNarrower topic: It places cellular interactions within broader networks of genes, proteins, and processes.

• Mathematical and theoretical biologyNarrower topic: It applies quantitative models to interacting biological networks and processes.

• Physiological phenomenaRelated: It models how interacting parts generate complex organism-level functions.

• Romanticism in scienceCompared with: It revisits the problem of explaining living wholes, using experimental and computational methods unavailable to Romantic science.