Saadi Saaidpour
Saadi Saaidpour
Chemistry Teacher, Free Researcher, PhD
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Quantitative structure–property relationship study of n-octanol–water partition coefficients of some of diverse drugs using multiple linear regression
J Ghasemi, S Saaidpour
analytica chimica acta IF=4.8 604 (2), 99-106, 2007
QSPR study for estimation of acidity constants of some aromatic acids derivatives using multiple linear regression (MLR) analysis
J Ghasemi, S Saaidpour, SD Brown
Journal of Molecular Structure: THEOCHEM,IF=1.4 805 (1), 27-32, 2007
QSPR prediction of aqueous solubility of drug-like organic compounds
J Ghasemi, S Saaidpour
Chemical and pharmaceutical bulletin, IF=1.6 55 (4), 669-674, 2007
QSRR prediction of the chromatographic retention behavior of painkiller drugs
J Ghasemi, S Saaidpour
J. Chromatogr. Sci, IF=1.3 47 (2), 156-163, 2009
Simultaneous kinetic spectrophotometric determination of periodate and iodate based on their reaction with pyrogallol red in acidic media by chemometrics methods
J Ghasemi, S Saaidpour, AA Ensafi
Analytica chimica acta, IF=4.8 508 (1), 119-126, 2004
Spectrophotometric study of the effects of surfactants and ethanol on the acidity constants of fluorescein
MB Gholivand, JB Ghasemi, S Saaidpour, A Mohajeri
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy IF=2.09 …, 2008
QSPR modeling of stability constants of diverse 15-crown-5 ethers complexes using best multiple linear regression
J Ghasemi, S Saaidpour
Journal of Inclusion Phenomena and Macrocyclic Chemistry, IF=1.3 60 (3-4 …, 2008
A simple, robust and efficient computational method for n-octanol/ water partition coefficients of substituted aromatic drugs
A Bahmani, S Saaidpour, A Rostami
Scientific Reports, IF=5.5, doi:10.1038/s41598-017-05964-z, 2017
Quantitative modeling for prediction of critical temperature of refrigerant compounds
S Saaidpour
Physical Chemistry Research, ISI listed 4 (1), 61-71, 2016
Prediction of drug lipophilicity using back propagation artificial neural network modeling
S Saaidpour
Oriental Journal of Chemistry, IF=0.54 30 (2), 793-802., 2014
Artificial Neural Network‐Based Quantitative Structural Property Relationship for Predicting Boiling Points of Refrigerants
J Ghasemi, S Saaidpour
Molecular Informatics, IF=1.64 28 (11‐12), 1245-1254, 2009
QSAR study of artemisinin analogues as antimalarial drugs by neural network and replacement method
F Abbasitabar, V Zare-Shahabadi
Drug Research 67 (08), 476-484, 2017
Quantitative structure-property relationship modelling of distribution coefficients (logD7.4) of diverse drug by sub-structural molecular fragments method
S Khaledian, S Saaidpour
Oriental journal of Chemistry, IF=0.54 31 (4), 1969-1976, 2015
Prediction of the adsorption capability onto activated carbon of liquid aliphatic alcohols using molecular fragments method
S Saaidpour
Iranian Journal of Mathematical Chemistry, ISI_WOS 5 (2), 127-142, 2014
Prediction the normal boiling points of primary, secondary and tertiary liquid amines from their molecular structure descriptors
S Saaidpour, A Bahmani, A Rostami
CMST 21 (4), 201-210, 2015
Quantitative Structure–Retention Relationship Modeling of Morphine and Its Derivatives on OV-1 Column in Gas–Liquid Chromatography Using Genetic Algorithm
A Bahmani, S Saaidpour, A Rostami
Chromatographia, IF=1.64 80 (4), 629–636, 2017
Halide (Cl−, Br−, I−) Influence on the Electronic Properties of Macrocyclic Nickel (II) Complexes: Ab-initio DFT Study
SA Zarei, K Akhtari, K Hassanzadeh, M Piltan, S Saaidpour, M Abedi
Journal of the Korean Chemical Society 57 (3), 311-315, 2013
Computational Model For Chromatographic Relative Retention Time of Polychlorinated Biphenyls Using Sub-structural Molecular Fragments
S Saaidpour
CMST 22 (1), 41-53, 2016
QSPR study of molar diamagnetic susceptibility of diverse organic compounds using multiple linear regression analysis
S Saaidpour, SA Zarei
Pakistan Journal of Chemistry 2 (1), 6-17, 2012
Using gas chromatography - mass spectrometry in conjunction with chemometrics technique to characterization of Iranian Myrtus communis L. essential oils
S Saaidpour, A Jahannamaie
Journal of Analytical Chemistry, IF=0.894 74 (8), 756-763, 2019
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