| A computational platform to identify origins of replication sites in eukaryotes FY Dao, H Lv, H Zulfiqar, H Yang, W Su, H Gao, H Ding, H Lin Briefings in bioinformatics 22 (2), 1940-1950, 2021 | 86 | 2021 |
| Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design H Lv, L Shi, JW Berkenpas, FY Dao, H Zulfiqar, H Ding, Y Zhang, L Yang, ... Briefings in bioinformatics 22 (6), bbab320, 2021 | 79* | 2021 |
| iBLP: an XGBoost-based predictor for identifying bioluminescent proteins D Zhang, HD Chen, H Zulfiqar, SS Yuan, QL Huang, ZY Zhang, KJ Deng Computational and Mathematical Methods in Medicine 2021, 1-15, 2021 | 75 | 2021 |
| Computational identification of N6-methyladenosine sites in multiple tissues of mammals FY Dao, H Lv, YH Yang, H Zulfiqar, H Gao, H Lin Computational and structural biotechnology journal 18, 1084-1091, 2020 | 74 | 2020 |
| DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach H Lv, FY Dao, H Zulfiqar, H Lin Briefings in Bioinformatics 22 (6), bbab244, 2021 | 66 | 2021 |
| Identification of cyclin protein using gradient boost decision tree algorithm H Zulfiqar, SS Yuan, QL Huang, ZJ Sun, FY Dao, XL Yu, H Lin Computational and structural biotechnology journal 19, 4123-4131, 2021 | 47 | 2021 |
| Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli H Zulfiqar, ZJ Sun, QL Huang, SS Yuan, H Lv, FY Dao, H Lin, YW Li Methods 203, 558-563, 2022 | 44* | 2022 |
| A sequence-based deep learning approach to predict CTCF-mediated chromatin loop H Lv, FY Dao, H Zulfiqar, W Su, H Ding, L Liu, H Lin Briefings in bioinformatics 22 (5), bbab031, 2021 | 41 | 2021 |
| Early diagnosis of pancreatic ductal adenocarcinoma by combining relative expression orderings with machine-learning method ZM Zhang, JS Wang, H Zulfiqar, H Lv, FY Dao, H Lin Frontiers in Cell and Developmental Biology 8, 582864, 2020 | 39 | 2020 |
| Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique H Zulfiqar, QL Huang, H Lv, ZJ Sun, FY Dao, H Lin International Journal of Molecular Sciences 23 (3), 1251, 2022 | 25 | 2022 |
| A statistical analysis of the sequence and structure of thermophilic and non-thermophilic proteins Z Ahmed, H Zulfiqar, L Tang, H Lin International Journal of Molecular Sciences 23 (17), 10116, 2022 | 24 | 2022 |
| iThermo: a sequence-based model for identifying thermophilic proteins using a multi-feature fusion strategy Z Ahmed, H Zulfiqar, AA Khan, I Gul, FY Dao, ZY Zhang, XL Yu, L Tang Frontiers in Microbiology 13, 790063, 2022 | 21 | 2022 |
| iRNA-ac4C: a novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA W Su, XQ Xie, XW Liu, D Gao, CY Ma, H Zulfiqar, H Yang, H Lin, XL Yu, ... International Journal of Biological Macromolecules 227, 1174-1181, 2023 | 16 | 2023 |
| Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method H Zulfiqar, RS Khan, F Hassan, K Hippe, C Hunt, H Ding, XM Song, ... Math. Biosci. Eng 18 (4), 3348-3363, 2021 | 14 | 2021 |
| Screening of prospective plant compounds as H1R and CL1R inhibitors and its antiallergic efficacy through molecular docking approach H Zulfiqar, MS Masoud, H Yang, SG Han, CY Wu, H Lin Computational and Mathematical Methods in Medicine 2021, 1-9, 2021 | 14 | 2021 |
| Deep-STP: A deep learning-based approach to predict snake toxin proteins by using word embeddings H Zulfiqar, Z Guo, RM Ahmad, Z Ahmed, P Cai, X Chen, Y Zhang, H Lin, ... Frontiers in Medicine 10, 1291352, 2024 | 8 | 2024 |
| Identification of potential inhibitors against SARS-Cov-2 using computational drug repurposing study H Zulfiqar, FY Dao, H Lv, H Yang, P Zhou, W Chen, H Lin Current Bioinformatics 16 (10), 1320-1327, 2021 | 8 | 2021 |
| CFNCM: collaborative filtering neighborhood-based model for predicting miRNA-disease associations BM Momanyi, H Zulfiqar, BK Grace-Mercure, Z Ahmed, H Ding, H Gao, ... Computers in Biology and Medicine 163, 107165, 2023 | 4 | 2023 |
| Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods H Zulfiqar, Z Guo, BK Grace-Mercure, ZY Zhang, H Gao, H Lin, Y Wu Computational and Structural Biotechnology Journal, 2023 | 4 | 2023 |
| Computational prediction of promotors in Agrobacterium tumefaciens strain C58 by using the machine learning technique H Zulfiqar, Z Ahmed, B Kissanga Grace-Mercure, F Hassan, ZY Zhang, ... Frontiers in Microbiology 14, 1170785, 2023 | 3 | 2023 |
Fuying DaoSchool of Biological Sciences (SBS), Nanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
