Chun-Qiu Xia

发表

Recent methodology progress of deep learning for RNA–protein interaction prediction

Hong-Bin Shen, Xiaoyong Pan, Yang Yang, 2019, Wiley interdisciplinary reviews. RNA.

Leveraging Scaffold Information to Predict Protein-ligand Binding Affinity with an Empirical Graph Neural Network

Hongbin Shen, Xiaoyong Pan, Chun-Qiu Xia, 2022, bioRxiv.

BindWeb: A web server for ligand binding residue and pocket prediction from protein structures

Hongbin Shen, Xiaoyong Pan, Chun-Qiu Xia, 2022, Protein science : a publication of the Protein Society.

Ab-Initio Membrane Protein Amphipathic Helix Structure Prediction Using Deep Neural Networks

Hongbin Shen, Chun-Qiu Xia, Shi-Hao Feng, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Protein-ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure data

Hong-Bin Shen, Xiaoyong Pan, Chun-Qiu Xia, 2020, Bioinform..

GraphBind: protein structural context embedded rules learned by hierarchical graph neural networks for recognizing nucleic-acid-binding residues

Hongbin Shen, Xiaoyong Pan, Chun-Qiu Xia, 2021, Nucleic acids research.

Few-shot classification with task-adaptive semantic feature learning

Hongbin Shen, Chun-Qiu Xia, Mei-hong Pan, 2023, Pattern Recognit..

Fast protein structure comparison through effective representation learning with contrastive graph neural networks

Hongbin Shen, Xiaoyong Pan, Chun-Qiu Xia, 2022, PLoS Comput. Biol..

Recent Progresses of Computational Analysis of RNA-Protein Interactions

Hongbin Shen, Xiaoyong Pan, Yang Yang, 2021 .

CoCoPRED: coiled-coil protein structural feature prediction from amino acid sequence using deep neural networks.

Hongbin Shen, Chun-Qiu Xia, Shi-Hao Feng, 2021, Bioinformatics.

High-accuracy protein model quality assessment using attention graph neural networks

Hongbin Shen, Chun-Qiu Xia, Pei Zhang, 2022, bioRxiv.