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rSAMs-NANO SIGNED

Nanoparticles with switchable shells for virus sensing and inhibition

Total Cost €

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EC-Contrib. €

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Partnership

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 rSAMs-NANO project word cloud

Explore the words cloud of the rSAMs-NANO project. It provides you a very rough idea of what is the project "rSAMs-NANO" about.

enhanced    surface    thiol    receptors    contrast    ultrasensitive    inhibitors    tunable    group    assays    biointerfacial    head    affinities    exploring    saccharides    strategy    interactions    nature    shells    explored    generation    first    amidines    diagnostics    stability    model    nanoplasmonic    relies    lipid    layer    assemblies    situ    efficiency    multivalency    self    nanoparticles    saccharide    particles    sensing    nanoparticle    drugs    affinity    antiviral    multivalent    decorated    composition    versions    influenza    ligand    dynamic    prepare    antibody    drug    particle    simultaneously    density    dendritic    covalently    prevents    detection    pathogens    ebola    bilayers    featuring    inhibit    interacting    binding    rapid    select    responsiveness    weak    validated    relying    ligands    series    human    artificial    rsams    architectures    compromises    monolayers    benchmark    sensors    shell    reversible    biointerfaces    assembled    biological    stages    strains    multiple    inhibition    selectivity    receptor    subtyping    terminated    blocking    fixed    sams    switchable    capability    infection    animal    free    viruses    ph    virus    respect    entry   

Project "rSAMs-NANO" data sheet

The following table provides information about the project.

Coordinator
MALMO UNIVERSITET 

Organization address
address: NORDENSKIOLDSGATAN 1
city: MALMOE
postcode: 205 06
website: www.mah.se

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Sweden [SE]
 Total cost 185˙857 €
 EC max contribution 185˙857 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-CAR
 Starting year 2018
 Duration (year-month-day) from 2018-09-03   to  2020-09-02

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MALMO UNIVERSITET SE (MALMOE) coordinator 185˙857.00

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 Project objective

This proposal concerns Reversible Self-assembled Monolayers (rSAMs) as dynamic nanoparticle shells for multivalent interactions at biointerfaces. Current drug design and diagnostics are exploring the multivalency concept, i.e. binding of biological targets via multiple weak interactions. In contrast to classical drug design relying on high-affinity inhibitors, this relies on dendritic architectures featuring a high density of ligands, e.g. saccharides, capable of simultaneously interacting with biointerfacial receptors. This strategy can be used to inhibit the virus entry by blocking the receptor at the early stages of infection and the concept is being explored as antiviral drugs and in virus sensing. However, in current systems ligands are covalently fixed on the particle surface. This prevents control over the ligand distribution and composition which compromises selectivity and affinity of the interactions. rSAMs are pH-switchable versions of thiol-SAMs. They are tunable with respect to the nature of the head group and layer order and stability while featuring pH responsiveness and the dynamic nature of non-covalently build assemblies e.g. lipid bilayers. Ligand decorated rSAMs therefore feature strongly enhanced affinities for multivalent targets. The main aims of this proposal are: 1) to investigate the use of rSAMs as dynamic nanoparticle shells for multivalent inhibition of viruses and 2) to assess such systems as nanoplasmonic sensors for antibody-free ultrasensitive, robust and rapid in situ virus detection. Under 1) we will select model pathogens, e.g. Ebola and prepare a series of saccharide terminated amidines for the first generation dynamic shell nanoparticles.Their efficiency will be assessed in infection assays using artificial virus particles Under 2) we will develop influenza virus sensors with subtyping capability within human and animal virus strains. The sensors will be validated with respect to benchmark assays.

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