The Partnership for the Assessment of Risks from Chemicals (PARC) is an EU co-funded project to develop next-generation chemical risk assessment (NGRA) to protect human health and the environment. PARC is a 7-year (2022-2029) partnership under Horizon Europe.

A key objective of PARC is to promote European cooperation, advance research, increase knowledge of chemical risk assessment and train relevant methodological skills. The results will help launch European and national strategies to reduce risks posed by hazardous chemicals to health and the environment. Further on, activities in PARC will help to reduce animal testing and implement strategies for next-generation risk assessment.

This is the FAIR collection of predictive machine learning (ML) and artificial intelligence (AI) models, their code and/or model information, documented in QMRF (QSAR Model Reporting Format) for regulatory purposes and developed under the umbrella of PARC.

Representation of models follows the best practices of model representation. [1, 2]

Questions from PARConauts regarding the repository and guidance on uploading their models and/or QMRFs, please contact the QsarDB Team (qsardb [at] chem.ut.ee).

Reference for PARC community at QsarDB Repository:

PARC ML and AI models collection at QsarDB Repository, 2022-2029, HDL: http://hdl.handle.net/10967/273

Disclaimer:

All models and data listed in the collections are the sole responsibility of the original model developers. In case of questions about these QSARs, interested parties are kindly asked to contact the original developers.