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"Network targets" refers to a paradigm in drug discovery and systems pharmacology where therapeutic intervention is directed at multiple nodes within a biological network rather than a single molecular target [1]. This approach recognizes that complex diseases, such as cancer or metabolic disorders, are often driven by redundant and interconnected signaling pathways that can bypass the inhibition of a single protein [2]. By targeting a "network" of proteins, enzymes, or receptors, researchers aim to achieve synergistic effects, reduce the likelihood of acquired resistance, and improve overall clinical outcomes [1][3]. This strategy is central to the field of network pharmacology, which utilizes computational modeling to identify optimal combinations of targets that, when modulated together, disrupt the disease state while minimizing toxicity to healthy tissues [2][4]. Consequently, "Network targets" is a collective term for the set of biological entities involved in these integrated therapeutic strategies [3].
Simultaneous modulation of multiple nodes within a biological network to achieve a synergistic therapeutic effect and overcome pathway redundancy.
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