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SAR and QSAR in Environmental Research|July 23, 2021
The QSAR-search of effective agents towards coronaviruses applying the Monte Carlo methodA A Toropov, A P Toropova, E Benfenati
SAR and QSAR in Environmental Research|April 6, 2013
Assessment of hydroxylated metabolites of polychlorinated biphenyls as potential xenoestrogens: a QSAR comparative analysis∗P Ruiz, E Myshkin, P Quigley, et al.
SAR and QSAR in Environmental Research|February 16, 2013
Comparative analysis of local and consensus quantitative structure-activity relationship approaches for the prediction of bioconcentration factorG Piir, S Sild, U Maran
SAR and QSAR in Environmental Research|February 27, 2013
Comparative study to predict toxic modes of action of phenols from molecular structuresY Brito-Sánchez, J A Castillo-Garit, H Le-Thi-Thu, et al.
SAR and QSAR in Environmental Research|May 29, 2013
On the treatment of LUMO energies for their use as descriptorsP D Burrow, A Modelli
SAR and QSAR in Environmental Research|May 29, 2013
Experimental verification, and domain definition, of structural alerts for protein binding: epoxides, lactones, nitroso, nitros, aldehydes and ketonesM D Nelms, M T D Cronin, T W Schultz, et al.
SAR and QSAR in Environmental Research|May 30, 2013
Development of docking-based 3D QSAR models for the design of substituted quinoline derivatives as human dihydroorotate dehydrogenase (hDHODH) inhibitorsV K Vyas, M Ghate
SAR and QSAR in Environmental Research|August 15, 2013
Development of QSAR-based two-stage prediction model for estimating mixture toxicityJ Kim, S Kim, G E Schaumann
SAR and QSAR in Environmental Research|April 30, 2013
ToxML, a data exchange standard with content controlled vocabulary used to build better (Q)SAR modelsM Ali, M Patel, D Wilkinson, et al.
SAR and QSAR in Environmental Research|November 23, 2012
The critical aggregation concentration of peptide surfactants is predictable from dynamic hydrophobic propertyF Tian, J Wu, N Huang, et al.
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