Welcome to QSAR Data Bank
QsarDB is a smart repository for (Q)SAR/QSPR models and datasets, ready for discovery, exploring, citing and predicting.
Recent submissions to the repository
- 11 Jun 2018
- Zhu, M.; Gu, C.; Cheng, Y.; Ju, X.; Bian, Y.; Yang, X.; Song, Y.; Ye, M.; Wang, F.; Jiang, X. Theoretical investigation of congener-specific soil sorption of polychlorinated biphenyls by DFT computation and potent QSAR analyses. Journal of Soils and Sediments 2016, 17, 35–46.
- 16 Jun 2017
- Viira, B.; Garcia-Sosa, A. T.; Maran, U. Chemical Structure and Correlation Analysis of HIV-1 NNRT and NRT Inhibitors and Database-Curated, Published Inhibition Constants with Chemical Structure in Diverse Datasets. J. Mol. Graph. Model. 2017, 76, 205-223.
- 24 May 2017
- Gramatica, P.; Pilutti, P.; Papa, E. Predicting the NO3 radical tropospheric degradability of organic pollutants by theoretical molecular descriptors. Atmos. Environ. 2003, 37, 3115–3124.
- 23 May 2017
- Katritzky, A. R.; Kasemets, K.; Slavov, S.; Radzvilovits, M.; Tämm, K.; Karelson, M. Estimating the toxicities of organic chemicals in activated sludge process. Water Res. 2010, 44, 2451–2460.