| A Survey on semi-supervised feature selection methods R Sheikhpour, MA Sarram, S Gharaghani, MAZ Chahooki Pattern Recognition, 2017 | 640 | 2017 |
| Investigation of the interaction between amodiaquine and human serum albumin by fluorescence spectroscopy and molecular modeling F Samari, M Shamsipur, B Hemmateenejad, T Khayamian, S Gharaghani European Journal of Medicinal Chemistry 54, 255-263, 2012 | 144 | 2012 |
| Studies on DNA binding properties of new Schiff base ligands using spectroscopic, electrochemical and computational methods: Influence of substitutions on DNA-binding A Jamshidvand, M Sahihi, V Mirkhani, M Moghadam, ... Journal of Molecular Liquids 253, 61-71, 2018 | 125 | 2018 |
| A novel QSAR model for prediction of apoptosis-inducing activity of 4-aryl-4-H-chromenes based on support vector machine MH Fatemi, S Gharaghani Bioorganic and Medicinal Chemistry 15 (24), 7746-7754, 2007 | 107 | 2007 |
| Spectrophotometric determination of synthetic colorants using PSO–GA-ANN A Benvidi, S Abbasi, S Gharaghani, MD Tezerjani, S Masoum Food Chemistry 220, 377-384, 2017 | 88 | 2017 |
| Synthesis, characterization and biological application of four novel metal-Schiff base complexes derived from allylamine and their interactions with human serum albumin … Z Kazemi, HA Rudbari, M Sahihi, V Mirkhani, M Moghadam, ... Journal of Photochemistry and Photobiology B: Biology 162, 448-462, 2016 | 79 | 2016 |
| TripletMultiDTI: multimodal representation learning in drug-target interaction prediction with triplet loss function A Dehghan, P Razzaghi, K Abbasi, S Gharaghani Expert Systems with Applications 232, 120754, 2023 | 76 | 2023 |
| A Robust Graph-based Semi-Supervised Sparse Feature Selection Method R Sheikhpour, MA Sarram, S Gharaghani, MAZ Chahooki Information Sciences, 2020 | 64 | 2020 |
| CCL-DTI: contributing the contrastive loss in drug–target interaction prediction A Dehghan, K Abbasi, P Razzaghi, H Banadkuki, S Gharaghani BMC Bioinformatics, 2024 | 58 | 2024 |
| An efficient nano-biocatalyst for lignocellulosic biomass hydrolysis: Xylanase immobilization on organically modified biogenic mesoporous silica nanoparticles S Ariaeenejad, F Jokar, P Hadian, L Ma'mani, S Gharaghani, ... International Journal of Biological Macromolecules 164, 3462-3473, 2020 | 58 | 2020 |
| Pharmacophore model, docking, QSAR, and molecular dynamics simulation studies of substituted cyclic imides and herbal medicines as COX-2 inhibitors N Moussa, A Hassan, S Gharaghani Heliyon, 2021 | 56 | 2021 |
| Molecular dynamics simulation study and molecular docking descriptors in structure-based QSAR on acetylcholinesterase (AChE) inhibitors S Gharaghani, T Khayamian, M Ebrahimi SAR and QSAR in Environmental Research 24 (9), 773-794, 2013 | 56 | 2013 |
| Melatonin therapy modulates cerebral metabolism and enhances remyelination by increasing PDK4 in a mouse model of multiple sclerosis M Ghareghani, L Scavo, Y Jand, N Farhadi, H Sadeghi, A Ghanbari, ... Frontiers in pharmacology 10, 147, 2019 | 55 | 2019 |
| Chiral halogenated Schiff base compounds: green synthesis, anticancer activity and DNA-binding study M Ariyaeifar, HA Rudbari, M Sahihi, Z Kazemi, AA Kajani, H Zali-Boeini, ... Journal of Molecular Structure 1161, 497-511, 2018 | 54 | 2018 |
| AutoDTI++: Deep unsupervised learning for DTI prediction by Autoencoders SZ Sajadi, MA Zare Chahooki, S Gharaghani, K Abbasi BMC Bioinformatics, 2021 | 43 | 2021 |
| New insights into the efficiency of thymol synergistic effect with p-cymene in inhibiting advanced glycation end products: A multi-way analysis based on spectroscopic and … S Abbasi, S Gharaghani, A Benvidi, M Rezaeinasab Journal of Pharmaceutical and Biomedical Analysis, 2018 | 39 | 2018 |
| Prediction of selectivity coefficients of univalent anions for anion-selective electrode using support vector machine MH Fatemi, S Gharaghani, S Mohammadkhani, Z Rezaie Electrochimica Acta 53 (12), 4276-4282, 2008 | 38 | 2008 |
| Synthesis, characterization and separation of chiral and achiral diastereomers of Schiff base Pd (II) complex: a comparative study of their DNA-and HSA-binding Z Kazemi, HA Rudbari, M Sahihi, V Mirkhani, M Moghadam, ... Journal of Photochemistry and Photobiology B: Biology 163, 246-260, 2016 | 36 | 2016 |
| Scoring multiple features to predict drug disease associations using information fusion and aggregation H Moghadam, M Rahgozar, S Gharaghani SAR and QSAR in Environmental Research 27 (8), 609-628, 2016 | 36 | 2016 |
| Studies of DNA- and HSA-binding properties of new nano-scale green synthesized Ni (II) complex as anticancer agent using spectroscopic methods, viscosity measurement, molecular … M Dehkhodaei, M Sahihi, H Amiri Rudbari, S Gharaghani, R Azadbakht, ... Journal of Molecular Liquids, 2017 | 35 | 2017 |
Razieh SheikhpourAssociate Professor of Computer Engineering, Ardakan University, IranVerified email at ardakan.ac.ir
