ReviewChembiochem : a European journal of chemical biology2026
Toward Ideal Proximity-Driven Reactions in Chemical Biology.
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.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chemical reactions in living systems are not governed solely by the intrinsic reactivity of functional groups or by the frequency of productive intermolecular collisions. Nature uses molecular recognition and spatial organization to control when and where chemical reactions occur. By selectively assembling reaction partners, biological systems increase the local concentrations, precisely orient reactive functionalities, and thereby achieve remarkable rates and selectivities under highly dilute conditions. Building on the long-established principles of molecular templation, proximity-driven reactions provide a framework for translating molecular recognition into controlled chemical reactivity in biological settings. This perspective does not seek to provide a comprehensive review of template-directed synthesis. Instead, it asks how the established principles of molecular recognition and templation are being used for the specific purposes of chemical biology, taking nucleic acid- and peptide-templated reactions, protein-based recognition platforms, proximity-driven bioconjugation, and bioorthogonal ligation strategies as case studies. I highlight how molecular templates accelerate bond formation, improve site-selectivity, and enable transformations that remain inaccessible through conventional solution-phase chemistry in the presence of competing biomolecules. Particular emphasis is placed on the quantitative coupling between three parameters that are usually discussed in isolation: the dissociation constant, which fixes the concentration window in which a template can operate; the effective molarity, which fixes the rate gain available once the complex has assembled; and the dissociation rate constant of the product complex, which fixes the ceiling on turnover frequency. Where the literature provides numbers for these quantities, they are given explicitly, and systems that achieve genuine template turnover are discussed in detail rather than treated as an aspiration. Despite substantial progress, many current systems remain limited by molecular complexity, irreversible or overly strong recognition, and the lack of efficient template regeneration. I propose that an "ideal" proximity-driven reaction should combine selective and reversible substrate recruitment, productive preorganization, rapid and chemoselective bond formation, minimal perturbation of the biological environment, and efficient template release and turnover. Future advances may therefore arise from integrating programmable molecular recognition with reversible binding and next-generation bioorthogonal ligation chemistries.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.