Author

Yuexu Jiang

University of Missouri

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 4 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:protein sequence· 3 Research Focus:protein structure prediction· 3 Research Focus:clustering· 2 Approach:contrastive learning· 2 Research Focus:gene regulatory network inference· 2 Approach:graph neural network· 2 Organism:human· 2

Frequent Co-Authors

Dong He XuiD· 5 shared Duolin WangiD· 4 shared Qing ShaoiD· 3 shared Anjun MaiD· 2 shared Cankun WangiD· 2 shared Jin CheniD· 2 shared Juexin WangiD· 2 shared Qin MaiD· 2 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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5 shared papersBioinformatics

Dong He XuORCID

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5 papers

Recent·Most cited

DPLM: Dynamics-aware Protein Language Model via contrastive learning between sequence and molecular dynamics simulation trajectory

Yuexu Jiang, Duolin Wang, Newton Ihoeghian, Ibrahim A. Imam, Jin Chen, Dong Xu, Qing Shao

This paper introduces DPLM, a dynamics-aware protein language model that integrates molecular dynamics simulations with sequence data to improve predictions of protein properties.

bioRxiv · May 4, 2026 · PreprintBiophysics

ProtLoc-GRPO: Cell line-specific subcellular localization prediction using a graph-based model and reinforcement learning

Shuai Zeng, Weinan Zhang, Chaohan Li, Yuexu Jiang, Duolin Wang, Qing Shao, Dong Xu

This study introduces ProtLoc-GRPO, a reinforcement learning method that improves subcellular localization prediction by optimizing PPI networks, achieving a 7% macro-F1 score improvement.

Biophysical Journal · Feb 4, 2026Peer-reviewedBioinformatics

S-PLM: Structure-aware Protein Language Model via Contrastive Learning between Sequence and Structure

Duolin Wang, Mahdi Pourmirzaei, Usman L. Abbas, Shuai Zeng, Negin Manshour, Farzaneh Esmaili, Biplab Poudel, Yuexu Jiang, Qing Shao, Jin Chen, Dong He Xu

S-PLM improves protein language models by integrating 3D structure information through contrastive learning, outperforming sequence-only models in clustering and classification tasks.

Advanced Science · Dec 12, 2024Peer-reviewedBioinformatics

DeepMAPS: Single-cell biological network inference using heterogeneous graph transformer

Anjun Ma, Xiaoying Wang, Cankun Wang, Jingxian Li, Tong Xiao, Juexin Wang, Yang Li, Yun-Tao Liu, Yuzhou Chang, Duolin Wang, Yuexu Jiang, Jinpu Li, Li Su, Shaopeng Gu, Gang Xin, , Qin Ma

DeepMAPS infers biological networks from single-cell multi-omics data using a heterogeneous graph transformer, outperforming existing tools in cell clustering and pathway prediction.

bioRxiv · Oct 31, 2021 · PreprintBioinformatics

scGNN: a novel graph neural network framework for single-cell RNA-Seq analyses

Juexin Wang, Anjun Ma, Yuzhou Chang, Jianting Gong, Yuexu Jiang, Ren Qi, Cankun Wang, Hongjun Fu, Qin Ma, Dong He Xu

scGNN introduces a graph neural network framework for scRNA-Seq analyses, improving gene imputation and cell clustering on benchmark datasets and revealing disease-related neural development in Alzheimer's disease.

Nature Communications · Mar 25, 2021Peer-reviewedBioinformatics