Explore the words cloud of the GOLIATH project. It provides you a very rough idea of what is the project "GOLIATH" about.
The following table provides information about the project.
|Coordinator Country||Netherlands [NL]|
|Total cost||6˙761˙833 €|
|EC max contribution||6˙761˙833 € (100%)|
1. H2020-EU.3.1.1. (Understanding health, wellbeing and disease)
|Duration (year-month-day)||from 2019-01-01 to 2023-12-31|
Take a look of project's partnership.
|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|
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.
|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.
|year||authors and title||journal||last update|
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
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
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The information about "GOLIATH" are provided by the European Opendata Portal: CORDIS opendata.
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