بختیار سپهری

صفحه نخست /بختیار سپهری
بختیار سپهری
نام و نام خانوادگی بختیار سپهری
شغل دانشجوی دانشگاه کردستان
تحصیلات کارشناسی / شیمی
وبسایت
پست الکترونیک
 عنوانمجله
1 Discovery of new Glyoxalase I inhibitors by repurposing of FDA-approved drugs: An in silico study Journal of Molecular Structure
2 In Silico Optimization of Frizzled-8 Receptor Inhibition Activity of Carbamazepine: Designing New Anti-Cancer Agent Combinatorial Chemistry & High Throughput Screening
3 Identifying SARS-CoV-2 main protease inhibitors by applying the computer screening of a large database of molecules SAR AND QSAR IN ENVIRONMENTAL RESEARCH
4 Machine learning-based quantitative structure–retention relationship models for predicting the retention indices of volatile organic pollutants International Journal of Environmental Science and Technology
5 High predictive QSAR models for predicting the SARS coronavirus main protease inhibition activity of ketone-based covalent inhibitors Journal of the Iranian Chemical Society
6 Robust and predictive QSAR models for predicting the D2, 5-HT1A, and 5-HT2A inhibition activities of fused tricyclic heterocycle piperazine (piperidine) derivatives as atypical antipsychotic drugs JOURNAL OF MOLECULAR STRUCTURE
7 Predictive and Descriptive CoMFA Models: The Effect of Variable Selection COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING
8 Towards the In-silico Design of New HSP90 Inhibitors: Molecular Docking and 3D-QSAR CoMFA Studies of Tetrahydropyrido [4, 3-d] Pyrimidine Derivatives as HSP90 Inhibitors medicinal chemistry
9 The Identification of New CD38 Inhibitors by Combined Structure and Ligand Based Virtual Screening Approaches of ZINC Database letters in drug design and discovery
10 Development linear and non-linear QSAR models for predicting AXL kinase inhibitory activity of N-[4-(quinolin-4-yloxy)phenyl]benzenesulfonamides JOURNAL OF RECEPTORS AND SIGNAL TRANSDUCTION
11 The in silico identification of potent anti-cancer agents by targeting the ATP binding site of the N-domain of HSP90 SAR AND QSAR IN ENVIRONMENTAL RESEARCH
12 Design of new CD38 inhibitors based on CoMFA modelling and molecular docking analysis of 4-amino-8-quinoline carboxamides and 2,4-diamino-8-quinazoline carboxamides SAR AND QSAR IN ENVIRONMENTAL RESEARCH
13 The identification of new ATAD2 bromodomain inhibitors: the application of combined ligand and structure-based virtual screening SAR AND QSAR IN ENVIRONMENTAL RESEARCH
14 QSPR/QSAR solely based on molecular surface electrostatic potentials for benzenoid hydrocarbons Journal of the Iranian Chemical Society
15 Pharmacophore interactions analysis and prediction of inhibitory activity of 1,7‑diazacarbazoles as checkpoint kinase 1 inhibitors: application of molecular docking, 3D‑QSAR and RBF neural network Journal of the Iranian Chemical Society
16 Molecular docking and QSAR analysis of naphthyridone derivatives as ATAD2 bromodomain inhibitors: application of CoMFA, LS-SVM, and RBF neural network Medicinal Chemistry Research
17 Design new P-glycoprotein modulators based on molecular docking and CoMFA study of a, b-unsaturated carbonyl-based compounds and oxime analogs as anticancer agents JOURNAL OF MOLECULAR STRUCTURE
18 Molecular docking and CoMFA studies of thiazoloquin(az)olin(on)es as CD38 inhibitors: determination of inhibitory mechanism, pharmacophore interactions, and design of new inhibitors JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
19 Investigation of retention behavior of polychlorinated biphenyl congeners on 18 different HRGC columns using molecular surface average local ionization energy descriptors Journal of Chromatography A