Polypharmacology network

A polypharmacology network is a systems-level representation of the interactions between multiple pharmacological agents and their diverse biological targets. This concept departs from the traditional 'one drug, one target' model, acknowledging that many therapeutic compounds achieve efficacy through the modulation of multiple proteins or pathways simultaneously (Hopkins, A. L., 2008, Nature Chemical Biology). These networks are typically constructed using computational methods, integrating data from high-throughput screening and structural biology to map drug-protein associations (Anighoro, A., et al., 2014, Medical Research Reviews). In a clinical context, polypharmacology networks are used to understand the synergistic effects of drug combinations and to identify potential off-target activities that may lead to adverse side effects. By analyzing these networks, researchers can identify drug repurposing opportunities and design multi-target ligands for complex diseases like cancer or neurodegeneration (Peters, J. U., 2016, Angewandte Chemie). While highly valuable for drug discovery, a polypharmacology network is a theoretical or computational construct rather than a physical molecule or therapeutic target itself.

Other names

Drug-target networkMulti-target networkSystems pharmacology networkNetwork pharmacology

Not applicable as this is a conceptual or computational framework rather than a biological molecule.