Yuedong Yang
Affiliations: | Griffith University |
Area:
protein structure prediction; protein interaction; virtual screeningGoogle:
"Yuedong Yang"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Yaoqi Zhou | post-doc | 2006-2012 | Indiana University Bloomington (Physics Tree) |
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Publications
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| Zhou B, Ji B, Shen C, et al. (2023) EVLncRNAs 3.0: an updated comprehensive database for manually curated functional long non-coding RNAs validated by low-throughput experiments. Nucleic Acids Research |
| Wang J, Chen S, Yuan Q, et al. (2023) Predicting the effects of mutations on protein solubility using graph convolution network and protein language model representation. Journal of Computational Chemistry |
| Song Y, Yuan Q, Zhao H, et al. (2023) Accurately identifying nucleic-acid-binding sites through geometric graph learning on language model predicted structures. Briefings in Bioinformatics. 24 |
| Song Y, Yuan Q, Chen S, et al. (2023) Fast and accurate protein intrinsic disorder prediction by using a pretrained language model. Briefings in Bioinformatics |
| Yuan Q, Xie J, Xie J, et al. (2023) Fast and accurate protein function prediction from sequence through pretrained language model and homology-based label diffusion. Briefings in Bioinformatics |
| Zhou B, Ding M, Feng J, et al. (2022) EVlncRNA-Dpred: improved prediction of experimentally validated lncRNAs by deep learning. Briefings in Bioinformatics |
| Wang P, Zheng S, Jiang Y, et al. (2022) Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction Prediction. Journal of Chemical Information and Modeling |
| Yuan Q, Chen S, Rao J, et al. (2022) AlphaFold2-aware protein-DNA binding site prediction using graph transformer. Briefings in Bioinformatics |
| Sun Z, Zheng S, Zhao H, et al. (2021) To improve the predictions of binding residues with DNA, RNA, carbohydrate, and peptide via multi-task deep neural networks. Ieee/Acm Transactions On Computational Biology and Bioinformatics |
| Yuan Q, Chen J, Zhao H, et al. (2021) Structure-aware protein-protein interaction site prediction using deep graph convolutional network. Bioinformatics (Oxford, England) |