Multiple predicted inflammatory and signaling targets at pathway level

The term Multiple predicted inflammatory and signaling targets at pathway level is a descriptive classification rather than a specific molecular target or receptor. It refers to a broad array of proteins, including kinases, receptors, and transcription factors, that collectively regulate inflammatory responses and intracellular signaling cascades [1]. This designation is frequently encountered in network pharmacology research, where computational models predict that a drug interacts with multiple nodes within a biological network, such as the NF-κB, MAPK, or JAK-STAT pathways, to exert its therapeutic effect [2]. Because it represents a high-level pathway summary rather than a discrete protein, it lacks a unique identifier like a UniProt accession number and is often used for drugs with pleiotropic or poorly defined mechanisms of action [3]. In a therapeutic context, targeting at the pathway level aims to achieve systemic modulation of disease states like chronic inflammation or autoimmunity, though it presents significant challenges in characterizing specific off-target toxicities. Consequently, this entry is considered a non-canonical, aggregate target description used to capture the polypharmacological profile of complex therapeutic agents. [1] Hopkins, A. L. (2008). Nature Chemical Biology, 4(11), 682-690. [2] Zhang, R., et al. (2019). Evidence-Based Complementary and Alternative Medicine, 2019, 6723407. [3] Kibble, M., et al. (2015). PLOS Computational Biology, 11(11), e1004539.

Other names

Multi-target inflammatory pathwaysNetwork-based signaling targetsPathway-level inflammatory nodesPolypharmacological inflammatory targets

Polypharmacological modulation of multiple signaling nodes and transcription factors within interconnected inflammatory pathways to achieve a synergistic therapeutic effect.