ReviewChemistryOpen2020
Surface Modification with Control over Ligand Density for the Study of Multivalent Biological Systems.
Review in ChemistryOpen, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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
14 citing papers in PubMed.
- Automated Generation of Supported Lipid Bilayer Arrays with Controlled Receptor Densities in Well Plates.ACS applied materials & interfaces · 2026Article
- Rapid and facile colorimetric biosensing of dengue NS1 antigen using gold nanoparticles: potential for point-of-care testing.RSC advances · 2026Article
- Recent advances in cancer nanomedicine: From smart targeting to personalized therapeutics - pioneering a new era in precision oncology.Materials today. Bio · 2026Review
- Quantitative Spermidine Detection in Cosmetics using an Organic Transistor-Based Chemical Sensor.ChemistryOpen · 2024Article
- Review
- Competitive Specific Anchorage of Molecules onto Surfaces: Quantitative Control of Grafting Densities and Contamination by Free Anchors.Langmuir : the ACS journal of surfaces and colloids · 2023Article
- Perpetuating enzymatically induced spatiotemporal pH and catalytic heterogeneity of a hydrogel by nanoparticles.Chemical science · 2022Article
- Distinct Binding Properties of Neutravidin and Streptavidin Proteins to Biotinylated Supported Lipid Bilayers: Implications for Sensor Functionalization.Sensors (Basel, Switzerland) · 2022Article
- The genetic authentication of Panax ginseng and Panax quinquefolius based on using single nucleotide polymorphism (SNP) conducted in a nucleic acid test chip.Analytical and bioanalytical chemistry · 2022Article
- Article
- Importance of Surface Topography in Both Biological Activity and Catalysis of Nanomaterials: Can Catalysis by Design Guide Safe by Design?International journal of molecular sciences · 2021Review
- Recruitment of receptors at supported lipid bilayers promoted by the multivalent binding of ligand-modified unilamellar vesicles.Chemical science · 2020Article
- Surface Modification with Control over Ligand Density for the Study of Multivalent Biological Systems.ChemistryOpen · 2020Review
- Binding Revisited-Avidity in Cellular Function and Signaling.Frontiers in molecular biosciences · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the study of multivalent interactions at interfaces, as occur for example at cell membranes, the density of the ligands or receptors displayed at the interface plays a pivotal role, affecting both the overall binding affinities and the valencies involved in the interactions. In order to control the ligand density at the interface, several approaches have been developed, and they concern the functionalization of a wide range of materials. Here, different methods employed in the modification of surfaces with controlled densities of ligands are being reviewed. Examples of such methods encompass the formation of self-assembled monolayers (SAMs), supported lipid bilayers (SLBs) and polymeric layers on surfaces. Particular emphasis is given to the methods employed in the study of different types of multivalent biological interactions occurring at the functionalized surfaces and their working principles.
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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.