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SAR and QSAR in Environmental Research|September 7, 2023
Optimal selection of learning data for highly accurate QSAR prediction of chemical biodegradability: a machine learning-based approachK Takeda, K Takeuchi, Y Sakuratani, et al.
SAR and QSAR in Environmental Research|August 8, 2023
Predicting cytotoxicity of engineered nanoparticles using regularized regression models: an in silico approachA Valeriano, F Bondaug, I Ebardo, et al.
SAR and QSAR in Environmental Research|August 22, 2023
Pteridine reductase (PTR1): initial structure-activity relationships studies of potential leishmanicidal arylindole derivatives compoundsJ V Silva, S Sueyoshi, T J Snape, et al.
SAR and QSAR in Environmental Research|July 10, 2023
Design and experimental validation of the oxazole and thiazole derivatives as potential antivirals against of human cytomegalovirusV Kovalishyn, O Severin, M Kachaeva, et al.
SAR and QSAR in Environmental Research|April 12, 2003
Mini-fingerprints for virtual screening: design principles and generation of novel prototypes based on information theoryL Xue, J W Godden, J Bajorath
SAR and QSAR in Environmental Research|February 7, 2003
The inorganic and organic characters for predicting bioconcentration on wide variety of chemicals in fishS Nakai, S Saito, M Takeuchi, et al.
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