Opendata, web and dolomites

PRESCREENARRAY

Peptide arrays as a high throughput pre-screening tool

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "PRESCREENARRAY" data sheet

The following table provides information about the project.

Coordinator
KARLSRUHER INSTITUT FUER TECHNOLOGIE 

Organization address
address: KAISERSTRASSE 12
city: KARLSRUHE
postcode: 76131
website: www.kit.edu

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 Germany [DE]
 Total cost 147˙247 €
 EC max contribution 147˙247 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-PoC
 Funding Scheme ERC-POC
 Starting year 2015
 Duration (year-month-day) from 2015-11-01   to  2017-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    KARLSRUHER INSTITUT FUER TECHNOLOGIE DE (KARLSRUHE) coordinator 147˙247.00

Map

 Project objective

Funded by the ERC-Starting Grant COMBIPATTERNING, we have conducted proof-of-principle experiments to synthesize peptide arrays with a density of up 25 Mio spots per cm2 (2 µm pitch). With these spot densities, a microscope slide would display more than a Billion different peptide spots, which is comparable to phage display technologies. Therefore, we want to verify the innovation potential of our novel very-high-density peptide arrays that should find a market in all kinds of applications where pre-screening of large peptide libraries is done. We think our novel PreScreenArrays should do much better than currently available display technologies and chemical compound libraries due to the following features: (a) The manufacturing cost of PreScreenArrays will be unprecedentedly low, (b) very small sample volumes, e.g. antibody sera can be analysed with our densely packed arrays, (c) we are fast and cheap in analysing the peptide arrays for binders since we don’t need any readout (we know the peptide’s sequence at every spot), (d) we can easily build into PreScreenArrays all kinds of artificial building blocks, e.g. posttranslational modifications of amino acids (which is a huge advantage over all display technologies), (e) we can easily synthesize focused libraries (i.e. some amino acids are fixed, while others are varied, e.g. to screen for improved antibiotic peptides), and (f) we can easily synthesize cyclic peptides that – similar to chemical compound libraries – should yield high-affinity binders for target proteins (cyclic peptides fold into fewer 3D structures when compared to linear peptides). We think that these features translate into a highly competitive technology, when compared to display techniques, and, eventually, also to chemical compound libraries.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PRESCREENARRAY" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "PRESCREENARRAY" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

InsideChromatin (2019)

Towards Realistic Modelling of Nucleosome Organization Inside Functional Chromatin Domains

Read More  

EVOMENS (2020)

The evolution of menstruation in primates

Read More  

DISINTEGRATION (2019)

The Mass Politics of Disintegration

Read More