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SAR and QSAR in Environmental Research|October 7, 2016
N-tuple topological/geometric cutoffs for 3D N-linear algebraic molecular codifications: variability, linear independence and QSAR analysisC R García-Jacas, Y Marrero-Ponce, S J Barigye, et al.
SAR and QSAR in Environmental Research|April 21, 2017
Application of IATA - A case study in evaluating the global and local performance of a Bayesian network model for skin sensitizationJ M Fitzpatrick, G Patlewicz
SAR and QSAR in Environmental Research|March 3, 2021
Molecular mechanisms of inhibitor bindings to A-FABP deciphered by using molecular dynamics simulations and calculations of MM-GBSAY Y Yin, J Zhao, L L Zhang, et al.
SAR and QSAR in Environmental Research|March 22, 2021
Sample-size dependence of validation parameters in linear regression models and in QSARD Kovács, P Király, G Tóth
SAR and QSAR in Environmental Research|November 20, 2012
Selection of appropriate training and validation set chemicals for modelling dermal permeability by U-optimal designG Xu, J M Hughes-Oliver, J D Brooks, et al.
SAR and QSAR in Environmental Research|June 3, 2014
Structure-activity relationship study of trifluoromethylketone inhibitors of insect juvenile hormone esterase: comparison of several classification methodsJ P Doucet, A Doucet-Panaye
SAR and QSAR in Environmental Research|September 20, 2012
Comparison of representational spaces based on structural information in the development of QSAR models for benzylamino enaminone derivativesG Cerruela García, B Palacios-Bejarano, I Luque Ruiz, et al.
SAR and QSAR in Environmental Research|February 5, 2015
An efficient numerical method for protein sequences similarity analysis based on a new two-dimensional graphical representationA El-Lakkani, H Mahran
SAR and QSAR in Environmental Research|January 23, 2015
A quasi-QSPR modelling for the photocatalytic decolourization rate constants and cellular viability (CV%) of nanoparticles by CORALA P Toropova, A A Toropov, E Benfenati
SAR and QSAR in Environmental Research|October 15, 2019
Consensus models to predict oral rat acute toxicity and validation on a dataset coming from the industrial contextF Lunghini, G Marcou, P Azam, et al.
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