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Reducing the cost, time, and ethical burden of preclinical research in the pharmaceutical industry

Total Cost €


EC-Contrib. €






Project "GENBIO" data sheet

The following table provides information about the project.


Organization address
address: DANZIGER WEG 17
postcode: 61476
website: n.a.

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]
 Project website
 Total cost 3˙464˙750 €
 EC max contribution 2˙425˙325 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-2
 Funding Scheme SME-2
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2021-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    GENOME BIOLOGICS UG DE (KRONBERG IM TAUNUS) coordinator 2˙425˙325.00


 Project objective

Recent advances in genomics, molecular science, and big data are changing the way we define and target diseases, but drug discovery is still a time-consuming, expensive and risky process. Genome Biologics provides a unique combination of tools – GENIMAPS and GENISYST – to provide an integrated platform, with a disruptive effect on the time, cost and risk of drug discovery and pre-clinical trial development. GENISYST uses a unique transgenic methodology to allow up to 50 genes to be expressed in one animal, directly in target tissue, without affecting the genome. This methodology removes the need for breeding, radically reducing the number of animals needed to make a transgenic animal model by a factor of 100, and enables transgenic large animal models, a current commercial gap in the market. The toolkit reduces the time to prepare animal models, and the cost of drug discovery and pre-clinical trials, by an order of magnitude. The impact of this is cheaper, more rapidly developed, drugs, with a greater target to market success rate. GENIMAPS combines big data, AI and a unique multi-omics approach to make rapid and precise matches between disease indicators and compound behaviours, allow rapid identification of targets, genetic expression, and compound matches. As well as precision medicine, GENIMAPS also allows the rapid evaluation of an existing pipeline, allowing repositioning of a company’s existing, FDA approved assets (or orphan drugs) – increasing the return on public and private investment.

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

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