Community for PARC
June 17, 2026The PARC (Partnership for the Assessment of Risks from Chemicals), an EU co-funded project to develop next-generation chemical risk assessment (NGRA) to protect human health and the environment, has opened a community in the repository.
The main objective of PARC is to promote European coopera...
Support for ONNX models
January 13, 2026After a long period of development and testing, the QsarDB repository has added support for the Open Neural Network Exchange (ONNX) format. Please note that the preferred and core model representation format for QsarDB is still Predictive Model Markup Language (PMML). PMML works well for represent...
FAIR principles and QSAR models
October 14, 2025The recent article "Moving Towards Making QSARs for Toxicity-Related Endpoints Findable, Accessible, Interoperable and Reusable (FAIR)" addresses a significant challenge in computational toxicology: how to ensure that QSAR models based on machine learning (ML) and artificial intelligence (AI) are not only developed but also made accessible and usable.
Presentation of FAIR experience with QsarDB
June 19, 2025On the second day of the PARC Modelers' Meeting [1,2,3], on June 10, 2025, in the session "Making Data and Models FAIR", Dr. Uko Maran gave a presentation entitled " Applying the FAIR data principles to modelling/models – experience from the QsarDB perspective ".
QsarDB workshop at PARC Modelers Meeting
June 18, 2025As a warm-up for the PARC Modelers’ Meeting [1,2,3], the QsarDB team provided a seminar on June 9, 2025, to offer attendees an overview and explanation of the basics of the QsarDB.org smart repository. The presentations covered various aspects of how to implement open and FAIR approaches to represent and organize machine learning (ML) and artificial intelligence (AI) models, as well as their underlying data.