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SAR and QSAR in Environmental Research|March 9, 2021
9-Arylimino noscapinoids as potent tubulin binding anticancer agent: chemical synthesis and cellular evaluation against breast tumour cellsA K Patel, R K Meher, P K Nagireddy, et al.SAR and QSAR in Environmental Research|February 23, 2021
Synthesis and receptor dependent 4D-QSAR studies of 4,5-dihydro-1,3,4-oxadiazole derivatives targeting cannabinoid receptorZ H Hu, T S Zhao, H Y Liu, et al.SAR and QSAR in Environmental Research|September 12, 2022
Identifications of good and bad structural fragments of hydrazone/2,5-disubstituted-1,3,4-oxadiazole hybrids with correlation intensity index and consensus modelling using Monte Carlo based QSAR studies, their molecular docking and ADME analysisP Kumar, R Singh, A Kumar, et al.SAR and QSAR in Environmental Research|January 4, 2022
Applying comparative molecular modelling techniques on diverse hydroxamate-based HDAC2 inhibitors: an attempt to identify promising structural features for potent HDAC2 inhibitionV Yadav, S Banerjee, S K Baidya, et al.SAR and QSAR in Environmental Research|June 19, 2015
Predicting the hazardous dose of industrial chemicals in warm-blooded species using machine learning-based modelling approachesS Gupta, N Basant, K P SinghSAR and QSAR in Environmental Research|September 8, 2021
A modified binary particle swarm optimization with a machine learning algorithm and molecular docking for QSAR modelling of cholinesterase inhibitorsE Shamsi, A Rahati, E DehghanianSAR and QSAR in Environmental Research|August 6, 2021
Insight into the structural requirement of aryl sulphonamide based gelatinases (MMP-2 and MMP-9) inhibitors - Part I: 2D-QSAR, 3D-QSAR topomer CoMFA and Naïve Bayes studies - First report of 3D-QSAR Topomer CoMFA analysis for MMP-9 inhibitors and jointly inhibitors of gelatinases togetherS Das, S A Amin, T JhaSAR and QSAR in Environmental Research|May 16, 2015
Binding mode of inhibitors and Cryptosporidium parvum IMP dehydrogenase: A combined ligand- and receptor-based studyR-J Li, Y-L Wang, Q-H Wang, et al.SAR and QSAR in Environmental Research|November 12, 2022
SAR based on self consistent classifierL A Stolbov, D A Filimonov, V V PoroikovSAR and QSAR in Environmental Research|April 29, 2006
Validation of a QSAR model for acute toxicityM Pavan, T I Netzeva, A P WorthPageof 134