DeepCDA: Deep Cross-Domain Compound-Protein Affinity Prediction through LSTM and Convolutional Neural Networks K Abbasi, P Razzaghi, A Poso, M Amanlou, JB Ghasemi, ... Bioinformatics, 2020 | 155 | 2020 |
Deep learning in drug target interaction prediction: current and future perspectives K Abbasi, P Razzaghi, A Poso, S Ghanbari-Ara, A Masoudi-Nejad Current Medicinal Chemistry 28 (11), 2100-2113, 2021 | 76 | 2021 |
Deep transferable compound representation across domains and tasks for low data drug discovery K Abbasi, A Poso, J Ghasemi, M Amanlou, A Masoudi-Nejad Journal of chemical information and modeling 59 (11), 4528-4539, 2019 | 41 | 2019 |
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 | 40 | 2023 |
Transfer subspace learning via low-rank and discriminative reconstruction matrix P Razzaghi, P Razzaghi, K Abbasi Knowledge-based systems 163, 174-185, 2019 | 38 | 2019 |
DeepTraSynergy: drug combinations using multimodal deep learning with transformers F Rafiei, H Zeraati, K Abbasi, JB Ghasemi, M Parsaeian, ... Bioinformatics 39 (8), btad438, 2023 | 32 | 2023 |
Multimodal brain tumor detection using multimodal deep transfer learning P Razzaghi, K Abbasi, M Shirazi, S Rashidi Applied Soft Computing 129, 109631, 2022 | 30 | 2022 |
AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders SZ Sajadi, MA Zare Chahooki, S Gharaghani, K Abbasi BMC bioinformatics 22, 1-19, 2021 | 30 | 2021 |
Modality adaptation in multimodal data P Razzaghi, K Abbasi, M Shirazi, N Shabani Expert Systems with Applications 179, 115126, 2021 | 19 | 2021 |
DeepCompoundNet: enhancing compound–protein interaction prediction with multimodal convolutional neural networks F Palhamkhani, M Alipour, A Dehnad, K Abbasi, P Razzaghi, JB Ghasemi Journal of Biomolecular Structure and Dynamics, 1-10, 2023 | 15 | 2023 |
Learning Spatial Hierarchies of High-level Features in Deep Neural Network P Razzaghi, K Abbasi, P Bayat Journal of Visual Communication and Image Representation, 2020 | 15 | 2020 |
CCL-DTI: contributing the contrastive loss in drug–target interaction prediction A Dehghan, K Abbasi, P Razzaghi, H Banadkuki, S Gharaghani BMC bioinformatics 25 (1), 48, 2024 | 11 | 2024 |
Multivariate pattern recognition by machine learning methods P Razzaghi, K Abbasi, JB Ghasemi Machine learning and pattern recognition methods in chemistry from …, 2023 | 8 | 2023 |
A deep learning-based framework for predicting survival-associated groups in colon cancer by integrating multi-omics and clinical data S Salimy, H Lanjanian, K Abbasi, M Salimi, A Najafi, L Tapak, ... Heliyon 9 (7), 2023 | 7 | 2023 |
Incorporating Part-whole Hierarchies into Fully Convolutional Network for Scene Parsing K Abbasi, P Razzaghi Expert Systems with Applications, 2020 | 6 | 2020 |
CFSSynergy: combining feature-based and similarity-based methods for drug synergy prediction F Rafiei, H Zeraati, K Abbasi, P Razzaghi, JB Ghasemi, M Parsaeian, ... Journal of Chemical Information and Modeling 64 (7), 2577-2585, 2024 | 4 | 2024 |
HGTDR: Advancing Drug Repurposing with Heterogeneous Graph Transformers A Gharizadeh, K Abbasi, A Ghareyazi, MRK Mofrad, HR Rabiee Bioinformatics, btae349, 2024 | | 2024 |
PLA-SGCN: Protein-Ligand Binding Affinity Prediction by Integrating Similar Pairs and Semi-supervised Graph Convolutional Network K Abbasi, P Razzaghi, A Ghareyazi, HR Rabiee arXiv preprint arXiv:2405.07452, 2024 | | 2024 |
Design of a bioinformatics model to predict drug compound properties and its application in inhibition of HIV replication and BACE-1 K Abbasi, A Masoudi-Nejad Genetic Engineering and Biosafety Journal 9 (2), 181-193, 2020 | | 2020 |