| The challenges and opportunities to formulate and integrate an effective ict policy at mountainous rural schools of gilgit-baltistan S Rahim, T Bibi, S Bahadur Qutoshi, S Gul, Y Gul, NAKK Khani, MS Malik Information 11 (11), 522, 2020 | 7 | 2020 |
| Integrating Pre-Trained protein language model and multiple window scanning deep learning networks for accurate identification of secondary active transporters in membrane proteins MS Malik, YY Ou Methods 220, 11-20, 2023 | 4 | 2023 |
| DeepPLM_mCNN: An approach for enhancing ion channel and ion transporter recognition by multi-window CNN based on features from pre-trained language models VT Le, MS Malik, YH Tseng, YC Lee, CI Huang, YY Ou Computational Biology and Chemistry 110, 108055, 2024 | 2 | 2024 |
| ProtTrans and multi-window scanning convolutional neural networks for the prediction of protein-peptide interaction sites VT Le, ZJ Zhan, MS Malik, YY Ou Journal of Molecular Graphics and Modelling 130, 108777, 2024 | 1 | 2024 |
| VesiMCNN: Using pre-trained protein language models and multiple window scanning convolutional neural networks to identify vesicular transport proteins YH Tseng, YC Liu, MS Malik, YY Ou International Journal of Biological Macromolecules, 136048, 2024 | | 2024 |
| MCNN_MC: Computational Prediction of Mitochondrial Carriers and Investigation of Bongkrekic Acid Toxicity Using Protein Language Models and Convolutional Neural Networks MS Malik, YY Chang, YC Liu, VT Le, YY Ou Journal of Chemical Information and Modeling, 2024 | | 2024 |
| XGboost-Ampy: Identification of AMPylation Protein Function Prediction Using Machine Learning ZNK Swati, A Ghulam, M Sohail, JU Arshed, R Sikander, MS Malik VAWKUM Transactions on Computer Sciences 10 (2), 83-95, 2022 | | 2022 |
| AOPs-XGBoost: Machine learning Model for the prediction of Antioxidant Proteins properties of peptides S Rahu, A Ghulam, ZNK Swati, JU Arshed, MS Malik VAWKUM Transactions on Computer Sciences 10 (2), 73-82, 2022 | | 2022 |
