Yelu Jiang

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
A lightweight visualization tool for protein unfolding by collision detection and elimination.
Frontiers Comput. Sci.
Hua Qian, Yu Chen, Yelu Jiang
2025 J jnl
AACDR: Integrating Graph Isomorphism Networks and Asymmetric Adversarial Domain Adaptation for Cancer Drug Response Prediction.
J. Chem. Inf. Model.
Yi Zhang, Tingfang Wu, Liangpeng Nie, Yelu Jiang, Geng Li, Jia Xu, Zhenglong Zhou, Yiwei Chen, Lijun Quan, Qiang Lyu
2025 J jnl
AffiGrapher: Contrastive Heterogeneous Graph Learning with Aromatic Virtual Nodes for RNA-Small Molecule Binding Affinity Prediction.
J. Chem. Inf. Model.
Junkai Wang, Jian Wu, Zhijun Zhang, Yelu Jiang, Liangchen Peng, Bei Zhang, Qiufeng Chen, Lexin Cao, Lijun Quan, Qiang Lyu
2025 J jnl
DS-MVP: identifying disease-specific pathogenicity of missense variants by pre-training representation.
Briefings Bioinform.
Qiufeng Chen, Lijun Quan, Lexin Cao, Bei Zhang, Zhijun Zhang, Liangchen Peng, Junkai Wang, Yelu Jiang, Liangpeng Nie, Geng Li, Tingfang Wu, Qiang Lyu
2025 J jnl
MAPCliff-WMGR: Exploring Activity Cliffs in Molecular Activity Prediction Enhanced by Weighted Molecular Graph Representations.
J. Chem. Inf. Model.
Yiwei Chen, Tingfang Wu, Yelu Jiang, Liangpeng Nie, Geng Li, Yi Zhang, Zhenglong Zhou, Jia Xu, Lijun Quan, Qiang Lyu
2025 J jnl
MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep Model.
J. Chem. Inf. Model.
Jia Xu, Tingfang Wu, Yelu Jiang, Liangpeng Nie, Geng Li, Yi Zhang, Zhenglong Zhou, Yiwei Chen, Lijun Quan, Qiang Lyu
2025 J jnl
MVCL-DTI: Predicting Drug-Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous Graph.
J. Chem. Inf. Model.
Bei Zhang, Lijun Quan, Zhijun Zhang, Lexin Cao, Qiufeng Chen, Liangchen Peng, Junkai Wang, Yelu Jiang, Liangpeng Nie, Geng Li, Tingfang Wu, Qiang Lyu
2025 J jnl
MetaMBP: Few-Shot Multilabel Prediction of Bioactive Peptides Based on Deep Metric Meta-Learning.
J. Chem. Inf. Model.
Zhenglong Zhou, Tingfang Wu, Yelu Jiang, Geng Li, Liangpeng Nie, Jia Xu, Yi Zhang, Yiwei Chen, Lijun Quan, Qiang Lyu
2024 J jnl
RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding.
Bioinform.
Xuejiao Wang, Tingfang Wu, Yelu Jiang, Taoning Chen, Deng Pan, Zhi Jin, Jingxin Xie, Lijun Quan, Qiang Lyu
2023 J jnl
DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yelu Jiang, Lijun Quan, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
2023 J jnl
Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks.
J. Chem. Inf. Model.
Kailong Li, Lijun Quan, Yelu Jiang, Hongjie Wu, Jian Wu, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
2023 J jnl
ctP
IEEE ACM Trans. Comput. Biol. Bioinform.
Kailong Li, Lijun Quan, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu
2022 J jnl
Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence.
Bioinform.
Yan Li, Lijun Quan, Yiting Zhou, Yelu Jiang, Kailong Li, Tingfang Wu, Qiang Lyu
2022 J jnl
SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model.
CoRR
Yikang Zhang, Xiaomin Chu, Yelu Jiang, Hongjie Wu, Lijun Quan