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SAR and QSAR in Environmental Research|October 27, 2015
Insight into human protease activated receptor-1 as anticancer target by molecular modellingA N Hidayat, E Aki-Yalcin, M Beksac, et al.
SAR and QSAR in Environmental Research|November 3, 2015
Predicting normal densities of amines using quantitative structure-property relationship (QSPR)M Stec, T Spietz, L Więcław-Solny, et al.
SAR and QSAR in Environmental Research|November 3, 2015
First report on exploring classification and regression based QSAR modelling of Plasmodium falciparum glycogen synthase kinase (PfGSK-3) inhibitorsR Balasaheb Aher, K Roy
SAR and QSAR in Environmental Research|November 5, 2015
Integrating QSAR and read-across for environmental assessmentE Benfenati, A Roncaglioni, M I Petoumenou, et al.
SAR and QSAR in Environmental Research|April 19, 2016
Conformal prediction to define applicability domain - A case study on predicting ER and AR bindingU Norinder, A Rybacka, P L Andersson
SAR and QSAR in Environmental Research|April 25, 2018
Accurate prediction of Gram-negative bacterial secreted protein types by fusing multiple statistical features from PSI-BLAST profileY Liang, S Zhang, S Ding
SAR and QSAR in Environmental Research|July 25, 2018
A binary QSAR model for classifying neuraminidase inhibitors of influenza A viruses (H1N1) using the combined minimum redundancy maximum relevancy criterion with the sparse support vector machineM K Qasim, Z Y Algamal, H T Mohammad Ali
SAR and QSAR in Environmental Research|July 28, 2018
A large comparison of integrated SAR/QSAR models of the Ames test for mutagenicity$E Benfenati, A Golbamaki, G Raitano, et al.
SAR and QSAR in Environmental Research|June 9, 2018
A novel proteochemometrics model for predicting the inhibition of nine carbonic anhydrase isoforms based on supervised Laplacian score and k-nearest neighbour regressionE Nazarshodeh, R Sheikhpour, S Gharaghani, et al.
SAR and QSAR in Environmental Research|July 31, 2018
Development of non-peptide ACE inhibitors as novel and potent cardiovascular therapeutics: An in silico modelling approachV Stoičkov, S Šarić, M Golubović, et al.
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