AcrNET: predicting anti-CRISPR with deep learning Y Li, Y Wei, S Xu, Q Tan, L Zong, J Wang, Y Wang, J Chen, L Hong, Y Li Bioinformatics 39 (5), btad259, 2023 | 7 | 2023 |
Contranovo: A contrastive learning approach to enhance de novo peptide sequencing Z Jin, S Xu, X Zhang, T Ling, N Dong, W Ouyang, Z Gao, C Chang, S Sun Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 144-152, 2024 | 2 | 2024 |
AF2-mutation: adversarial sequence mutations against AlphaFold2 on protein tertiary structure prediction Z Yuan, T Shen, S Xu, L Yu, R Ren, S Sun arXiv preprint arXiv:2305.08929, 2023 | 2 | 2023 |
Accurate Prediction of Antibody Function and Structure Using Bio-Inspired Antibody Language Model H Jing, Z Gao, S Xu, T Shen, Z Peng, S He, T You, S Ye, W Lin, S Sun bioRxiv, 2023.08. 30.555473, 2023 | 1 | 2023 |
CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues L Jing, S Xu, Y Wang, Y Zhou, T Shen, Z Ji, H Fang, Z Li, S Sun Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2661-2669, 2024 | | 2024 |
SSBlazer: a genome-wide nucleotide-resolution model for predicting single-strand break sites S Xu, J Wei, S Sun, J Zhang, TF Chan, Y Li Genome Biology 25 (1), 46, 2024 | | 2024 |
Pi-PrimeNovo: An Accurate and Efficient Non-Autoregressive Deep Learning Model for De Novo Peptide Sequencing X Zhang, T Ling, Z Jin, S Xu, Z Gao, B Sun, Z Qiu, N Dong, G Wang, ... bioRxiv, 2024.05. 17.594647, 2024 | | 2024 |