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MELLODDY SIGNED

MachinE Learning Ledger Orchestration for Drug DiscoverY

Total Cost €

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EC-Contrib. €

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Partnership

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Project "MELLODDY" data sheet

The following table provides information about the project.

Coordinator
OWKIN FRANCE 

Organization address
address: 75 RUE DE TURBIGO
city: PARIS
postcode: 75003
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 France [FR]
 Total cost 18˙410˙465 €
 EC max contribution 8˙000˙000 € (43%)
 Programme 1. H2020-EU.3.1.7. (Innovative Medicines Initiative 2 (IMI2))
 Code Call H2020-JTI-IMI2-2018-14-two-stage
 Funding Scheme IMI2-RIA
 Starting year 2019
 Duration (year-month-day) from 2019-06-01   to  2022-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    OWKIN FRANCE FR (PARIS) coordinator 2˙773˙635.00
2    KATHOLIEKE UNIVERSITEIT LEUVEN BE (LEUVEN) participant 1˙345˙006.00
3    LOODSE GMBH DE (HAMBURG) participant 1˙254˙178.00
4    BUDAPESTI MUSZAKI ES GAZDASAGTUDOMANYI EGYETEM HU (BUDAPEST) participant 1˙253˙297.00
5    SUBSTRA FR (NANTES) participant 955˙482.00
6    IKTOS FR (PARIS) participant 418˙402.00
7    AMGEN RESEARCH (MUNICH) GMBH DE (MUNCHEN) participant 0.00
8    ASTELLAS PHARMA EUROPE BV NL (LEIDEN) participant 0.00
9    ASTRAZENECA AB SE (SODERTAELJE) participant 0.00
10    BAYER AKTIENGESELLSCHAFT DE (Leverkusen) participant 0.00
11    BOEHRINGER INGELHEIM INTERNATIONALGMBH DE (INGELHEIM) participant 0.00
12    GLAXOSMITHKLINE RESEARCH AND DEVELOPMENT LTD. UK (BRENTFORD) participant 0.00
13    INSTITUT DE RECHERCHES SERVIER FR (SURESNES) participant 0.00
14    JANSSEN PHARMACEUTICA NV BE (BEERSE) participant 0.00
15    MERCK KOMMANDITGESELLSCHAFT AUF AKTIEN DE (DARMSTADT) participant 0.00
16    NOVARTIS PHARMA AG CH (BASEL) participant 0.00
17    NVIDIA SWITZERLAND AG CH (ZURICH) participant 0.00

Map

 Project objective

MELLODDY will demonstrate how the pharmaceutical industry can better leverage its data assets to virtualize the Drug Discovery (DD) process with world-leading Machine Learning (ML) technologies as an answer to the ever-increasing challenges and stricter regulatory requirements it is facing. The lack of a tested, secure and privacy-preserving platform for federated machine learning that enables pharmaceutical partners to extract DD-relevant information from all types of, not only their own but even each other’s competitive data, without mutual disclosure of the chemistry and biology each partner has worked on, has previously held back such demonstration, to the detriment of patients in the EU and beyond. MELLODDY’s ten pharmaceutical partners will enable this demonstration with an unprecedented volume of more than a billion highly private and competitive DD-relevant data points, and hundreds of Tbs of image data that annotate the biological effects of more than 10 million small molecules. The successful demonstration of the predictive benefits, i.e. increased predictive model performance and chemical applicability domain, of unlocking this data volume, while strictly preserving the privacy of all underlying data and the resulting predictive models, will shape best practices and translate into substantial efficiency gains in the DD process, and in the future, drug development. Finally, MELLODDY will prepare and exploit a service-for-fee vehicle to ensure the MELLODDY technologies are available to the rest of the pharmaceutical sector.

 Deliverables

List of deliverables.
Project Management Plan Documents, reports 2020-04-17 18:32:57
Risk Management Plan Documents, reports 2020-04-17 18:32:57
Data Management Plan Documents, reports 2020-04-17 18:32:57

Take a look to the deliverables list in detail:  detailed list of MELLODDY deliverables.

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

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