| Neural network and deep-learning algorithms used in QSAR studies: merits and drawbacks F Ghasemi, A Mehridehnavi, A Pérez-Garrido, H Pérez-Sánchez Drug discovery today 23 (10), 1784-1790, 2018 | 229 | 2018 |
| Deep neural network in QSAR studies using deep belief network F Ghasemi, A Mehridehnavi, A Fassihi, H Pérez-Sánchez Applied soft computing 62, 251-258, 2018 | 102 | 2018 |
| Protein kinase inhibitors’ classification using K-Nearest neighbor algorithm R Arian, A Hariri, A Mehridehnavi, A Fassihi, F Ghasemi Computational biology and chemistry 86, 107269, 2020 | 67 | 2020 |
| Online epileptic seizure prediction using wavelet-based bi-phase correlation of electrical signals tomography Z Vahabi, R Amirfattahi, F Shayegh, F Ghassemi International journal of neural systems 25 (06), 1550028, 2015 | 63 | 2015 |
| Accelerating big data analysis through LASSO-random forest algorithm in QSAR studies F Motamedi, H Pérez-Sánchez, A Mehridehnavi, A Fassihi, F Ghasemi Bioinformatics 38 (2), 469-475, 2022 | 43* | 2022 |
| The role of different sampling methods in improving biological activity prediction using deep belief network F Ghasemi, A Fassihi, H Pérez‐Sánchez, A Mehri Dehnavi Journal of computational chemistry 38 (4), 195-203, 2017 | 43 | 2017 |
| A versatile biomimic nanotemplating fluidic assay for multiplex quantitative monitoring of viral respiratory infections and immune responses in saliva and blood R Siavash Moakhar, C del Real Mata, M Jalali, H Shafique, A Sanati, ... Advanced Science 9 (33), 2204246, 2022 | 31 | 2022 |
| Study of CXCR4 chemokine receptor inhibitors using QSPR and molecular docking methodologies T Mostashari-Rad, R Arian, H Sadri, A Mehridehnavi, M Mokhtari, ... Journal of Theoretical and Computational Chemistry 18 (04), 1950018, 2019 | 27 | 2019 |
| 3D U-Net: A voxel-based method in binding site prediction of protein structure F Nazem, F Ghasemi, A Fassihi, AM Dehnavi Journal of Bioinformatics and Computational Biology 19 (02), 2150006, 2021 | 24 | 2021 |
| Application of computational drug discovery techniques for designing new drugs against Zika virus JP Ceron-Carrasco, T Coronado-Parra, B Imbernón-Tudela, ... OMICS International, 2016 | 17 | 2016 |
| Graphene oxide quantum dot-Chitosan nanotheranostic platform as a pH-responsive carrier for improving curcumin uptake internalization: In vitro & in silico study AZ Yasaman Esmaeili, Hooria Seyedhosseini Ghaheh, Fahimeh Ghasemi, Laleh ... Biomaterials Advances, 213017, 2022 | 16 | 2022 |
| Improving Activity Prediction of Adenosine A2B Receptor Antagonists by Nonlinear Models F Ghasemi, A Mehri, J Peña-García, H den-Haan, A Pérez-Garrido, ... Bioinformatics and Biomedical Engineering: Third International Conference …, 2015 | 7 | 2015 |
| Towards screening and repurposing of approved drugs for the treatment of COVID-19 using molecular docking M Soltani, S Sardari, H Sabzyan, F Ghasemi Physical Chemistry Research 11 (4), 707-723, 2023 | 6 | 2023 |
| Drug repurposing against angiotensin-converting enzyme-related carboxypeptidase (ACE2) through computational approach G Vaseghi, A Golestaneh, L Jafari, F Ghasemi Journal of Medical Signals & Sensors 12 (4), 341-346, 2022 | 5 | 2022 |
| A GU-Net-based architecture predicting ligand–protein-binding atoms F Nazem, F Ghasemi, A Fassihi, R Rasti, AM Dehnavi Journal of Medical Signals & Sensors 13 (1), 1-10, 2023 | 4 | 2023 |
| The Application of Artificial Intelligence and Drug Repositioning for the Identification of Fibroblast Growth Factor Receptor Inhibitors: A Review P Zarei, F Ghasemi Advanced Biomedical Research 13, 9, 2024 | 3 | 2024 |
| Identification of potential vascular endothelial growth factor receptor inhibitors via tree‐based learning modeling and molecular docking simulation N Arabi, MR Torabi, A Fassihi, F Ghasemi Journal of Chemometrics 38 (7), e3545, 2024 | 2 | 2024 |
| Identification of new potential candidates to inhibit EGF via machine learning algorithm M Torabi, S Yasami-Khiabani, S Sardari, M Golkar, H Pérez-Sánchez, ... European Journal of Pharmacology 963, 176176, 2024 | 2 | 2024 |
| Online Single-Channel Seizure Prediction, Based on Seizure Genesis Model of Depth-EEG Signals Using Extended Kalman Filter KA Farzaneh Shayegh, Fahimeh Ghasemi, Rasoul Amirfatahi, Saeed Sadri Signal and Data Processing 15 (1 (6-2018)), 3-28, 2018 | 2 | 2018 |
| A deep learning model based on the BERT pre-trained model to predict the antiproliferative activity of anti-cancer chemical compounds M Torabi, I Haririan, A Foroumadi, H Ghanbari, F Ghasemi SAR and QSAR in Environmental Research 35 (11), 971-992, 2024 | 1 | 2024 |
Horacio Pérez-SánchezPrincipal Investigator BIO-HPC Research Group, Universidad Católica de Murcia (UCAM)Dirección de correo verificada de ucam.edu
