Evidence map›Paper›PMID 25901321›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Designing multivalent probes for tunable superselective targeting.

Galina V Dubacheva, Tine Curk, Rachel Auzély-Velty, Daan Frenkel, Ralf P Richter

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 126 citations in OpenAlex.

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  5. Reciprocity in dynamics of supramolecular biosystems for the clustering of ligands and receptors.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  15. Bimodal brush-functionalized nanoparticles selective to receptor surface density.Proceedings of the National Academy of Sciences of the United States of America · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 4 countries.

Galina V DubachevaCIC biomaGUNE, 20009 Donostia/San Sebastian, Spain; gdubacheva@cicbiomagune.es rrichter@cicbiomagune.es.ORCID http://orcid.org/0000-0003-1417-5381
Tine CurkDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom;
Rachel Auzély-VeltyCentre de Recherches sur les Macromolécules Végétales, CNRS, 38041 Grenoble Cedex 9, France;
Daan FrenkelDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom;
Ralf P RichterCIC biomaGUNE, 20009 Donostia/San Sebastian, Spain; Université Grenoble Alpes, Departement de Chimie Moléculaire, 38041 Grenoble Cedex 9, France; CNRS, Departement de Chimie Moléculaire, 38041 Grenoble Cedex 9, France; and Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany gdubacheva@cicbiomagune.es rrichter@cicbiomagune.es.
Centre National de la Recherche Scientifique · FRUniversity of Cambridge · GBCIC biomaGUNE · ES

Funding

European Research Council 306435
6 · The paper itself

Abstract

Specific targeting is common in biology and is a key challenge in nanomedicine. It was recently demonstrated that multivalent probes can selectively target surfaces with a defined density of surface binding sites. Here we show, using a combination of experiments and simulations on multivalent polymers, that such "superselective" binding can be tuned through the design of the multivalent probe, to target a desired density of binding sites. We develop an analytical model that provides simple yet quantitative predictions to tune the polymer's superselective binding properties by its molecular characteristics such as size, valency, and affinity. This work opens up a route toward the rational design of multivalent probes with defined superselective targeting properties for practical applications, and provides mechanistic insight into the regulation of multivalent interactions in biology. To illustrate this, we show how the superselective targeting of the extracellular matrix polysaccharide hyaluronan to its main cell surface receptor CD44 is controlled by the affinity of individual CD44-hyaluronan interactions.

Indexed as

Animalsbeta-CyclodextrinsBinding SitesCell MembraneComputer SimulationElectrochemistryHumansHyaluronan ReceptorsHyaluronic AcidKineticsLigandsModels, TheoreticalMonte Carlo MethodPolymersProtein BindingReceptors, Cell Surfacebeta-CyclodextrinsbetadexHyaluronan ReceptorsHyaluronic AcidLigandsPolymersReceptors, Cell Surfacehost–guest multivalent interactionshyaluronansuperselectivitytunability

Identifiers

PMID25901321
PMCPMC4426472
OpenAlexW2092463802

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.