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Interactive Knowledge Graph

Explore the Quantum Biology Ontology as an interconnected network of 83 entities across 7 subcellular compartments connected by 154 biochemical edges. Project differential expression data across multiple experimental studies, partition the topology using mathematical clustering algorithms, or expand/contract node distances to resolve dense clusters.

Layout & Mathematical Clustering

Cluster Distance:

Experimental Data Overlays

Subcellular Localisation (Default): Grouping 83 entities into 7 biological compartments (Mitochondria, Chloroplast, Nucleus, Cytosol, Peroxisome, Plasma Membrane & Cell, Environment) inside compound boundaries using physics-based relaxation. Use Expand Distance to spread dense clusters.
Evidence Tier: T1 Demonstrated T2 Inferred T3 Plausible T4 Context
Expression Response: Down (≤ -2.0) Neutral Up (≥ +2.0)