NanoQSAR: Structure-activity relationships modelling of REACH-relevant endpoints to predict the toxicity of metal oxide nanoparticles and quantum dots.

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European Regional Development Fund (ERDF)
1 Jan 2019 to 31 Dec 2019
Spain

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Operation co-funded by EU cohesion policy (European Regional Development Fund (ERDF)) under the programme Valenciana - ERDF (2014ES16RFOP013), managing authority: Subdirección General de Gestión del FEDER de la Dirección General de Fondos Comunitarios. Ministerio de Hacienda y Administraciones Publicas.. The source names no beneficiary for this operation. Location: Valencia Province (NUTS ES523); Spain. Budget: total eligible expenditure EUR 20,000; EU co-financing EUR 10,000 (co-financing rate 50%), as stated by the source. Runs 2019-01-01 to 2019-12-31. Source: Kohesio, EU cohesion policy projects managed by national and regional authorities (not CORDIS). Summary from Kohesio (English machine translation by the source): Based on the concept of the project, the main objective of the Nano-QSAR project is to develop new QSAR models scientifically validated to predict endpoints toxicological, ecotoxicological and environmental relevant to REACH of a priority list of Nanoparticles of metal oxide (MOX) and Quantum . Dots (QD) based on the available literature and own experimental data.

Original source.

Source: Kohesio (EU cohesion policy projects), European Commission, Directorate-General for Regional and Urban Policy (DG REGIO). Retrieved 2026-10-21. Licence: CC0 1.0 (Cohesion Open Data Platform, dataset 2014-2020 Kohesio projects). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: public domain dedication (CC0 1.0).

AI-assisted summary: The NanoQSAR project aims to develop QSAR models to predict the toxicity of metal oxide nanoparticles and quantum dots, co-funded by the EU with a budget of EUR 20,000. It ran from January 1, 2019, to December 31, 2019, in Valencia Province, Spain. Suggested technology pillar: simulation. Generated by AI from the public source text; it may contain errors and the original source is authoritative.

Source: kohesio.ec.europa.eu · checked 21 Oct 2026 · AI-assisted summary