Yelu Jiang

According to our database, Yelu Jiang authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RPEMHC: improved prediction of MHC-peptide binding affinity by a deep learning approach based on residue-residue pair encoding.

Xuejiao Wang, Tingfang Wu, Yelu Jiang, Taoning Chen, Deng Pan, Zhi Jin, Jingxin Xie, Lijun Quan, Qiang Lyu

Bioinform., January, 2024

2023

Simultaneous Prediction of Interaction Sites on the Protein and Peptide Sides of Complexes through Multilayer Graph Convolutional Networks.

Kailong Li, Lijun Quan, Yelu Jiang, Hongjie Wu, Jian Wu, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu

J. Chem. Inf. Model., April, 2023

ctP²ISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation.

Kailong Li, Lijun Quan, Yelu Jiang, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations.

Yelu Jiang, Lijun Quan, Kailong Li, Yan Li, Yiting Zhou, Tingfang Wu, Qiang Lyu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model.

Yikang Zhang, Xiaomin Chu, Yelu Jiang, Hongjie Wu, Lijun Quan

CoRR, 2022

Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence.

Yan Li, Lijun Quan, Yiting Zhou, Yelu Jiang, Kailong Li, Tingfang Wu, Qiang Lyu

Bioinform., 2022