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GOLIATH SIGNED

Beating Goliath: Generation Of NoveL, Integrated and Internationally Harmonised Approaches for Testing Metabolism Disrupting Compounds

Total Cost €

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EC-Contrib. €

0

Partnership

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 GOLIATH project word cloud

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

assays    toxicology    exposures    disrupting    endocrinology    translating    epidemiology    disrupt    world    acceptance    adipocytes    disorders    focussing    throughput    link    obesity    cellular    induce    chemical    comprised    goliath    ultimately    liver    predictive    metabolic    chemicals    span    human    ongoing    regulation    outcomes    action    guidelines    edcs    internationally    bhc    goliathan    lack    spectrum    mode    optimise    disruption    metabolism    myocytes    experts    generate    pancreatic    vivo    urgent    harmonised    screening    iata    fatty    omics    endocrine    outcome    technologies    health    regulatory    entire    validated    27    diabetes    humans    aop    reduce    sc1    cells    molecular    worldwide    hepatocytes    mdcs    anthropogenic    toxicity    international    silico    validation    ready    adverse    incorporating    2018    strategy    pivotal    proportions    first    biology    collectively    life    natural    reached    oecd    vitro   

Project "GOLIATH" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT UTRECHT 

Organization address
address: HEIDELBERGLAAN 8
city: UTRECHT
postcode: 3584 CS
website: www.uu.nl

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 Netherlands [NL]
 Total cost 6˙761˙833 €
 EC max contribution 6˙761˙833 € (100%)
 Programme 1. H2020-EU.3.1.1. (Understanding health, wellbeing and disease)
 Code Call H2020-SC1-2018-Single-Stage-RTD
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT UTRECHT NL (UTRECHT) coordinator 1˙268˙269.00
2    INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE FR (PARIS) participant 1˙077˙695.00
3    INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT FR (PARIS CEDEX 07) participant 798˙786.00
4    UNIVERSIDAD MIGUEL HERNANDEZ DE ELCHE ES (ELCHE) participant 672˙862.00
5    Department of Health UK (Leeds) participant 459˙104.00
6    KAROLINSKA INSTITUTET SE (STOCKHOLM) participant 402˙500.00
7    THE REGENTS OF THE UNIVERSITY OF CALIFORNIA US (OAKLAND CA) participant 339˙596.00
8    LINKOPINGS UNIVERSITET SE (LINKOPING) participant 338˙287.00
9    UMEA UNIVERSITET SE (UMEA) participant 303˙750.00
10    BRUNEL UNIVERSITY LONDON UK (UXBRIDGE) participant 261˙946.00
11    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) participant 248˙525.00
12    BIOPREDIC INTERNATIONAL SARL FR (SAINT GREGOIRE) participant 243˙750.00
13    VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK N.V. BE (MOL) participant 137˙510.00
14    AGENCE NATIONALE DE LA SECURITE SANITAIRE DE L ALIMENTATION DE L ENVIRONNEMENT ET DU TRAVAIL FR (MAISONS ALFORT) participant 134˙250.00
15    HOFFMANN SEBASTIAN DE (PADERBORN) participant 75˙000.00

Map

 Project objective

GOLIATH addresses the work programme topic ‘SC1-BHC-27-2018: New testing and screening methods to identify endocrine disrupting chemicals (EDCs)’ by focussing on one of the most urgent regulatory needs, namely the lack of methods for testing EDCs that disrupt metabolism – chemicals collectively referred to as ‘metabolism disrupting chemicals’ (MDCs). MDCs are natural and anthropogenic chemicals that have the ability to promote metabolic changes that can ultimately result in obesity, diabetes and/or fatty liver in humans. GOLIATH will generate the world’s first integrated approach to testing and assessment (IATA) specifically tailored to MDCs. With a focus on the main cellular targets of metabolic disruption – hepatocytes, pancreatic endocrine cells, myocytes and adipocytes - GOLIATH will develop new methods and optimise existing methods that span the entire adverse outcome pathway (AOP) spectrum, using in silico predictive modelling and high throughput screening, (pre-)validated ready-to-use in vitro assays and optimised in vivo toxicity testing guidelines. GOLIATH will provide key information on the endocrine mode of action by which MDCs disrupt metabolic pathways and induce adverse effects on human health by incorporating multi-omics technologies, and translating results from in vitro and in vivo assays to adverse metabolic health outcomes in humans at real life exposures. Given the importance of international acceptance of the developed test methods for regulatory use, GOLIATH will link with ongoing initiatives of the OECD for test method (pre-)validation, IATA and AOP development. With a consortium comprised of world-leading experts in endocrinology, molecular biology, toxicology, epidemiology, test method development, validation and chemical regulation, GOLIATH will be pivotal in the development of an internationally harmonised strategy for testing MDCs, and help to reduce the worldwide rise in metabolic disorders that have reached ‘Goliathan’ proportions.

 Deliverables

List of deliverables.
Detailed review paper on state of the art on MDCs Documents, reports 2020-03-06 13:48:50
Website open to the general public Websites, patent fillings, videos etc. 2020-02-25 14:36:32

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

 Publications

year authors and title journal last update
List of publications.
2019 Melanie Schneider, Jean-Luc Pons, William Bourguet, Gilles Labesse
Towards accurate high-throughput ligand affinity prediction by exploiting structural ensembles, docking metrics and ligand similarity
published pages: 160-168, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/btz538
Bioinformatics 36/1 2020-02-25
2019 Melanie Schneider, Jean-Luc Pons, Gilles Labesse, William Bourguet
In Silico Predictions of Endocrine Disruptors Properties
published pages: 2709-2716, ISSN: 1945-7170, DOI: 10.1210/en.2019-00382
Endocrinology 160/11 2020-02-25

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