Welcome to QSAR DataBase

QsarDB is a smart repository for (Q)SAR/QSPR models and datasets, ready for discovery, exploring, citing and predicting.

Read more about QsarDB

Transparent QSAR data

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.

Cite QSAR data

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.

Explore chemicals

Search from 40000 structures in QDB archives


Exact chemical search, similarity and substructure searches find QDB archives containing the query compound.

Explore models

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.

Recent blog posts

On our mind

26 Oct 2020 | New community from Slovenia (NIC)

The last quarter of 2020 brought a new community from Slovenia. Laboratory for Cheminformatics at National Institute of Chemistry (NIC). NIC has a long history for providing in silico tools for mechanistic and empirical modelling applicable for drug design, assessment of toxicity, and materials optimization.

17 Sep 2020 | QsarDB predictor service supports DRAGON descriptors

Each model in QsarDB can be used for prediction if the user calculates or determines experimentally the descriptors in the model and enters them in the “QDB Predictor” application [1] or via the REST service [2]. For some models, the prediction service also works directly from the structure. In this case, the QsarDB repository calculates the required molecular descriptors on the fly. Currently, QsarDB supports this functionality for a limited number of models, and they use open source software (Chemistry Development Kit, PaDEL-Descriptor and XlogP3) to calculate molecular descriptors.

03 Jun 2020 | New community from Italy (JRC)

In 2020, the QsarDB team celebrated Europe Day (May 9) in a modest but professional way. Namely, on that day, a new community was opened for the European Union Reference Laboratory for Alternatives to Animal Testing (EURL ECVAM), which is a part of the European Commission's Joint Research Center (JRC) in Ispra, Italy.

03 Feb 2020 | Representing QSARs in era of Big Data

The topic of Big Data has strongly entered into predictive and computational toxicology, and is here in order to stay. However, not only the data is big, large are also computational models (the so-called QSAR models) derived from these data. Therefore, the management of computational models in the context of Big Data needs more attention and efforts, so that the models remain transparent and independently verifiable.