| SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction X Li, P Han, G Wang, W Chen, S Wang, T Song BMC genomics 23 (1), 474, 2022 | 59 | 2022 |
| Designing uncorrelated address constrain for DNA storage by DMVO algorithm B Cao, X Ii, X Zhang, B Wang, Q Zhang, X Wei IEEE/ACM transactions on computational biology and bioinformatics 19 (2 …, 2020 | 56 | 2020 |
| An intelligent optimization algorithm for constructing a DNA storage code: NOL-HHO Q Yin, B Cao, X Li, B Wang, Q Zhang, X Wei International journal of molecular sciences 21 (6), 2191, 2020 | 43 | 2020 |
| Constraining DNA sequences with a triplet-bases unpaired X Li, B Wang, H Lv, Q Yin, Q Zhang, X Wei IEEE transactions on nanobioscience 19 (2), 299-307, 2020 | 43 | 2020 |
| MARPPI: boosting prediction of protein–protein interactions with multi-scale architecture residual network X Li, P Han, W Chen, C Gao, S Wang, T Song, M Niu, A Rodriguez-Patón Briefings in Bioinformatics 24 (1), bbac524, 2023 | 39 | 2023 |
| K-means multi-verse optimizer (KMVO) algorithm to construct DNA storage codes B Cao, S Zhao, X Li, B Wang Ieee Access 8, 29547-29556, 2020 | 31 | 2020 |
| PETrans: De Novo Drug Design with Protein-Specific Encoding Based on Transfer Learning X Wang, C Gao, P Han, X Li, W Chen, A Rodríguez Patón, S Wang, ... International Journal of Molecular Sciences 24 (2), 1146, 2023 | 22 | 2023 |
| RGN: Residue-Based Graph Attention and Convolutional Network for Protein–Protein Interaction Site Prediction S Wang, W Chen, P Han, X Li, T Song Journal of Chemical Information and Modeling 62 (23), 5961-5974, 2022 | 21 | 2022 |
| DNMG: Deep molecular generative model by fusion of 3D information for de novo drug design T Song, Y Ren, S Wang, P Han, L Wang, X Li, A Rodriguez-Patón Methods 211, 10-22, 2023 | 18 | 2023 |
| DCSE: Double-Channel-Siamese-Ensemble model for protein protein interaction prediction W Chen, S Wang, T Song, X Li, P Han, C Gao BMC genomics 23 (1), 1-14, 2022 | 13 | 2022 |
| scTransSort: Transformers for Intelligent Annotation of Cell Types by Gene Embeddings L Jiao, G Wang, H Dai, X Li, S Wang, T Song Biomolecules 13 (4), 611, 2023 | 12 | 2023 |
| Stable DNA sequence over close-ending and pairing sequences constraint X Li, Z Wei, B Wang, T Song Frontiers in genetics 12, 644484, 2021 | 12 | 2021 |
| QuantumTox: Utilizing quantum chemistry with ensemble learning for molecular toxicity prediction X Wang, L Wang, S Wang, Y Ren, W Chen, X Li, P Han, T Song Computers in Biology and Medicine 157, 106744, 2023 | 11 | 2023 |
| Exploring the effects of drug, disease, and protein dependencies on biomedical named entity recognition: A comparative analysis P Han, X Li, X Wang, S Wang, C Gao, W Chen Frontiers in Pharmacology 13, 1020759, 2022 | 11 | 2022 |
| Exploring the Conformational Ensembles of Protein–Protein Complex with Transformer-Based Generative Model J Wang, X Wang, Y Chu, C Li, X Li, X Meng, Y Fang, KT No, J Mao, ... Journal of Chemical Theory and Computation, 2024 | 5 | 2024 |
| MEG-PPIS: a fast protein–protein interaction site prediction method based on multi-scale graph information and equivariant graph neural network H Ding, X Li, P Han, X Tian, F Jing, S Wang, T Song, H Fu, N Kang Bioinformatics 40 (5), btae269, 2024 | 3 | 2024 |
| Predicting mutation-disease associations through protein interactions via deep learning X Li, B Cao, J Wang, X Meng, S Wang, Y Huang, E Petretto, T Song IEEE Journal of Biomedical and Health Informatics, 2025 | | 2025 |
| Gene-MOE: a Sparsely Gated Cancer Diagnosis and Prognosis Framework Exploiting Pan-cancer Genomic Information X Meng, X Li, Q Yang, H Dai, L Qiao, H Ding, L Hao, X Wang IEEE Transactions on Computational Biology and Bioinformatics, 2025 | | 2025 |
| Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage B Cao, T He, X Li, B Wang, X Wu, Q Zhang, YS Ong arXiv preprint arXiv:2408.00779, 2024 | | 2024 |
| PepPFN: protein-peptide binding residues prediction via pre-trained module-based Fourier Network X Li, B Cao, H Ding, N Kang, T Song 2024 IEEE Conference on Artificial Intelligence (CAI), 1075-1080, 2024 | | 2024 |
Tao SongFull Professor, China University of Petroleum, Adjunct Associate Professer in SwinburneAdresă de e-mail confirmată pe upc.edu.cn