ReviewChembiochem : a European journal of chemical biology2026
The Reality of Active Targeting in Nanomedicine: Promise Versus Performance.
Review in Chembiochem : a European journal of chemical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Abstract
Active targeting in nanomedicine aims to enhance therapeutic efficacy by functionalising nanocarriers with ligands that selectively bind biological targets. Despite extensive research, clinical translation has remained limited, with most approved systems relying on antibodies or passive delivery mechanisms rather than complex targeted nanoparticles. This perspective critically examines the gap between the conceptual promise of active targeting and its practical performance. Drawing comparisons with biological systems, we highlight that natural targeting relies on dynamic, multi-step and energy-dependent processes rather than simple ligand-receptor interactions. Current nanomedicine approaches are constrained by an oversimplified view of targeting, neglecting key factors such as multivalency, spatial organisation, kinetics and biological barriers. Future progress requires a shift towards systems-level design, integrating spatiotemporal control, adaptive materials and computational modelling. Ultimately, we propose a design-by-architecture paradigm, in which targeting is encoded into nanomaterial structure, enabling programmable and biologically guided delivery.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.