Curators' Distinguished Professor of Electrical Engineering and Computer Science and Paul K. and Dianne Shumaker Professor, College of Engineering

NextGen Focus Area: Bioinformatics and Machine Learning

Dong Xu conducts research in many areas of computational biology and bioinformatics, including single-cell data analysis; protein structure prediction and modeling; protein post-translational modifications; protein localization prediction; computational systems biology; biological information systems; and bioinformatics applications in human, microbes and plants. His research since 2012 has focused on the interface between bioinformatics and deep learning.

Precision Health Impact:

• Developing novel deep-learning methods for biomedical studies and applying them in disease studies and drug development.
• Analyzing large-scale biomedical data to build hypotheses and models for various diseases, including cancers and neural disorders.

Publications:

• Ma Q, Xu D. Deep learning shapes single-cell data analysis. Nat Rev Mol Cell Biol. 2022 May;23(5):303–4.
• Wang D, Zhang Z, Jiang Y, Mao Z, Wang D, Lin H, et al. DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism. Nucleic Acids Res. 2021 May 7;49(8):e46.
• Jiang Y, Jiang L, Akhil CS, Wang D, Zhang Z, Zhang W, et al. MULocDeep web service for protein localization prediction and visualization at subcellular and suborganellar levels. Nucleic Acids Res. 2023 May 13;gkad374.
• Zhu J, Wang J, Han W, Xu D. Neural relational inference to learn long-range allosteric interactions in proteins from molecular dynamics simulations. Nat Commun. 2022 Mar 29;13(1):1661.
• Wang J, Ma A, Chang Y, Gong J, Jiang Y, Qi R, et al. scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses. Nat Commun. 2021 Mar 25;12(1):1882.

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     ResearchGate

Digital Biology Lab

Email: xudong@missouri.edu
Department website: https://engineering.missouri.edu/faculty/dong-xu/