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
- 26 Jul 2018
- Käärik, M.; Maran, U.; Arulepp, M.; Perkson, A.; Leis, J. Quantitative nano-structure-property relationships for the nanoporous carbon: Predicting the performance of energy storage materials. ACS Appl. Energy Mater. 2018, published online.
- 06 Jul 2018
- Oja, M.; Maran, U. pH-permeability profiles for drug substances: Experimental detection, comparison with human intestinal absorption and modelling. Eur. J. Pharm. Sci. 2018, 123, 429-440.
- 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.