Read more about QsarDB
Create and upload QDB archive
The QsarDB repository requires your model and associated data to be organized. A small effort will make your research transparent and usable.
Link repository with your publication
Include a QsarDB archive DOI in your publication. Taylor & Francis journals now automatically link to a QsarDB archive when the corresponding article DOI is included with the archive.
Search from 40000 structures in QDB archives
Exact chemical search, similarity and substructure searches find QDB archives containing the query compound.
Browse among more than 500 interactive models
Browse the list of endpoints, corresponding QDB archives and among more than 500 models. Visualize models and predict endpoints.
Show your study on this list
On our mind
The last quarter of 2019 brought two new communities to the QsarDB, namely, Ineris (France) and Chemoinformatics Research Group from Liverpool John Moores University (England).
19th International Workshop on (Quantitative) Structure-Activity Relationships in Environmental and Health Sciences will be in Durham, NC, June 8-11, 2020.
Lisa Bang has developed a simple QsarDB archive parser for the Python programming language. This parser can be useful to someone interested in reproducing the QSAR provided in the QsarDB archive format.
This summer, QsarDB’s main website underwent a major upgrade. The visual side was redesigned to have a modern look, but it was only a small part of the effort. Most of the work went into improving the documentation and its results are available in the new section, GUIDELINES.