R. Hmamouchi

发表

Predictive modelling of the LD50 activities of coumarin derivatives using neural statistical approaches: Electronic descriptor-based DFT

M. Bouachrine, Samir CHTITA, T. Lakhlifi, 2016 .

QSPR studies of 9-aniliioacridine derivatives for their DNA drug binding properties based on density functional theory using statistical methods: Model, validation and influencing factors

M. Bouachrine, Samir CHTITA, T. Lakhlifi, 2016 .

Inhibition of Carbon Steel Corrosion in HCl Media by Lipid Oil Melia

B. Hammouti, R. Salghi, A. Zarrouk, 2014 .

Quantitative Structure–Activity Relationship Studies of Anticancer Activity for Isatin (1H-indole-2,3-dione) Derivatives Based on Density Functional Theory

M. Bouachrine, Samir CHTITA, T. Lakhlifi, 2017 .

Combining DFT and QSAR computation for predicting the soil sorption coefficients of substituted phenols and anilines

M. Bouachrine, Samir CHTITA, T. Lakhlifi, 2016 .

Combining DFT and QSAR result for predicting the toxicity of a series of substituted phenols

M. Bouachrine, Samir CHTITA, T. Lakhlifi, 2014 .

QSAR Modeling of the toxicity of pI50 pyrazines derived by electronic parameters obtained by DFT.

M. Bouachrine, T. Lakhlifi, R. Hmamouchi, 2014 .

Biological activity of molecules based on benzylpiperidine inhibitors of human acetylcholinesterase (HuAChE). Predicting by combining DFT and QSAR calculations.

M. Bouachrine, Samir CHTITA, T. Lakhlifi, 2014 .

Binding affinities (AhR) of polychlorinated biphenyls (PCBs), dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs) study combining DFT and QSAR results

M. Bouachrine, T. Lakhlifi, R. Hmamouchi, 2014 .

Predicting biological activity of anticancer molecules 3-aryl-4-hydroxyquinolin-2-(1H)-one by DFT-QSAR models.

M. Bouachrine, Samir CHTITA, T. Lakhlifi, 2013 .

The inhibitory activity of aldose reductase of flavonoid compounds: Combining DFT and QSAR calculations

M. Bouachrine, Samir CHTITA, T. Lakhlifi, 2016 .

Investigation of Antileishmanial Activities of Acridines Derivatives against Promastigotes and Amastigotes Form of Parasites Using Quantitative Structure Activity Relationship Analysis

Samir Chtita, Mohammed Bouachrine, Tahar Lakhlifi, 2016 .

Prediction of potential inhibitors of SARS-CoV-2 using 3D-QSAR, molecular docking modeling and ADMET properties

M. Bouachrine, T. Lakhlifi, H. Maghat, 2021, Heliyon.

Structure activity and prediction of biological activities of compound (2-methyl-6-phenylethynylpyridine) derivatives relationships rely on electronic and topological descriptors.

M. Bouachrine, T. Lakhlifi, R. Hmamouchi, 2014 .