Jinbo Xu, Ph.D.
Affiliations: | 2003 | University of Waterloo, Waterloo, ON, Canada |
Area:
Computer ScienceGoogle:
"Jinbo Xu"Parents
Sign in to add mentor| Prabhakar Ragde | grad student | 2003 | University of Waterloo | |
| (Protein structure prediction by linear programming.) | ||||
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Publications
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| Jing X, Wu F, Luo X, et al. (2024) Single-sequence protein structure prediction by integrating protein language models. Proceedings of the National Academy of Sciences of the United States of America. 121: e2308788121 |
| Wu F, Wu L, Radev D, et al. (2023) Integration of pre-trained protein language models into geometric deep learning networks. Communications Biology. 6: 876 |
| Chen B, Xie Z, Qiu J, et al. (2023) Improved the heterodimer protein complex prediction with protein language models. Briefings in Bioinformatics |
| McPartlon M, Xu J. (2023) An end-to-end deep learning method for protein side-chain packing and inverse folding. Proceedings of the National Academy of Sciences of the United States of America. 120: e2216438120 |
| Wu F, Jing X, Luo X, et al. (2022) Improving protein structure prediction using templates and sequence embedding. Bioinformatics (Oxford, England) |
| Kong L, Ju F, Zheng WM, et al. (2022) ProALIGN: Directly Learning Alignments for Protein Structure Prediction via Exploiting Context-Specific Alignment Motifs. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology |
| Lai B, Xu J. (2022) Accurate protein function prediction via graph attention networks with predicted structure information. Briefings in Bioinformatics. 23 |
| Jing X, Xu J. (2021) Fast and effective protein model refinement using deep graph neural networks. Nature Computational Science. 1: 462-469 |
| Tran NH, Xu J, Li M. (2021) A tale of solving two computational challenges in protein science: neoantigen prediction and protein structure prediction. Briefings in Bioinformatics |
| Xie Z, Xu J. (2021) Deep graph learning of inter-protein contacts. Bioinformatics (Oxford, England) |