Eslam Pourbasheer
Eslam Pourbasheer
Department of Chemistry, Faculty of Science, University of Mohaghegh Ardabili, P.O. Box 179, Ardabil
Verified email at uma.ac.ir
Title
Cited by
Cited by
Year
Application of genetic algorithm-support vector machine (GA-SVM) for prediction of BK-channels activity
E Pourbasheer, S Riahi, MR Ganjali, P Norouzi
European journal of medicinal chemistry 44 (12), 5023-5028, 2009
1442009
Investigation of different linear and nonlinear chemometric methods for modeling of retention index of essential oil components: Concerns to support vector machine
S Riahi, E Pourbasheer, MR Ganjali, P Norouzi
Journal of hazardous materials 166 (2-3), 853-859, 2009
1152009
QSRR study of GC retention indices of essential-oil compounds by multiple linear regression with a genetic algorithm
S Riahi, MR Ganjali, E Pourbasheer, P Norouzi
Chromatographia 67 (11), 917-922, 2008
682008
Application of principal component-genetic algorithm-artificial neural network for prediction acidity constant of various nitrogen-containing compounds in water
A Habibi-Yangjeh, E Pourbasheer, M Danandeh-Jenagharad
Monatshefte für Chemie-Chemical Monthly 140 (1), 15-27, 2009
672009
Prediction of melting point for drug-like compounds using principal component-genetic algorithm-artificial neural network
A Habibi-Yangjeh, E Pourbasheer, M Danandeh-Jenagharad
Bulletin of the Korean Chemical Society 29 (4), 833-841, 2008
602008
Applying the B12N12 nanoparticle as the CO, CO2, H2O and NH3 sensor
R Rostamoghli, M Vakili, A Banaei, E Pourbashir, K Jalalierad
chemical Review & Letters 1 (1), 31-36, 2018
592018
QSAR modeling of antimalarial activity of urea derivatives using genetic algorithm–multiple linear regressions
A Beheshti, E Pourbasheer, M Nekoei, S Vahdani
Journal of Saudi Chemical Society 20 (3), 282-290, 2016
532016
QSAR study of VEGFR-2 inhibitors by using genetic algorithm-multiple linear regressions (GA-MLR) and genetic algorithm-support vector machine (GA-SVM): a comparative approach
M Nekoei, M Mohammadhosseini, E Pourbasheer
Medicinal Chemistry Research 24 (7), 3037-3046, 2015
482015
2D and 3D quantitative structure–activity relationship study of hepatitis C virus NS5B polymerase inhibitors by comparative molecular field analysis and comparative molecular …
E Pourbasheer, R Aalizadeh, S Shokouhi Tabar, MR Ganjali, P Norouzi, ...
Journal of chemical information and modeling 54 (10), 2902-2914, 2014
482014
QSAR study on melanocortin-4 receptors by support vector machine
E Pourbasheer, S Riahi, MR Ganjali, P Norouzi
European journal of medicinal chemistry 45 (3), 1087-1093, 2010
432010
Comparative study of the derivative and partial least squares methods applied to the spectrophotometric simultaneous determination of atorvastatin and amlodipine from their …
S Riahi, MR Ganjali, E Pourbasheer, P Norouzi
current pharmaceutical analysis 3 (4), 268-272, 2007
412007
The comparison of partial least squares and principal component regression in simultaneous spectrophotometric determination of ascorbic acid, dopamine and uric acid in real samples
H Khajehsharifi, E Pourbasheer, H Tavallali, S Sarvi, M Sadeghi
Arabian Journal of Chemistry 10 (2), S3451-S3458, 2017
402017
Quantitative structure–activity relationship (QSAR) study of interleukin-1 receptor associated kinase 4 (IRAK-4) inhibitor activity by the genetic algorithm and multiple linear …
E Pourbasheer, S Riahi, MR Ganjali, P Norouzi
Journal of enzyme inhibition and medicinal chemistry 25 (6), 844-853, 2010
382010
Prediction of basicity constants of various pyridines in aqueous solution using a principal component-genetic algorithm-artificial neural network
A Habibi-Yangjeh, E Pourbasheer, M Danandeh-Jenagharad
Monatshefte für Chemie-Chemical Monthly 139 (12), 1423-1431, 2008
382008
Design of a novel optical sensor for determination of trace amounts of copper by UV/vis spectrophotometry in the real samples
E Pourbasheer, S Morsali, A Banaei, S Aghabalazadeh, MR Ganjali, ...
Journal of Industrial and Engineering Chemistry 26, 370-374, 2015
352015
QSAR study of IKKβ inhibitors by the genetic algorithm: multiple linear regressions
E Pourbasheer, R Aalizadeh, MR Ganjali, P Norouzi
Medicinal Chemistry Research 23 (1), 57-66, 2014
342014
QSAR study of C allosteric binding site of HCV NS5B polymerase inhibitors by support vector machine
E Pourbasheer, S Riahi, MR Ganjali, P Norouzi
Molecular diversity 15 (3), 645-653, 2011
332011
Exploring QSARs for antiviral activity of 4‐alkylamino‐6‐(2‐hydroxyethyl)‐2‐methylthiopyrimidines by support vector machine
S Riahi, E Pourbasheer, R Dinarvand, MR Ganjali, P Norouzi
Chemical biology & drug design 72 (3), 205-216, 2008
312008
Fabrication of an all solid state (ASS) polymeric membrane sensor (PME) for tramadol and its application
MR Ganjali, B Larijani, E Pourbasheer
Int. J. Electrochem. Sci 11 (3), 2119-2129, 2016
302016
QSAR study of α1β4 integrin inhibitors by GA-MLR and GA-SVM methods
E Pourbasheer, R Aalizadeh, MR Ganjali, P Norouzi
Structural Chemistry 25 (1), 355-370, 2014
302014
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