Lei Wang

特任副研究员 · 生物信息学

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我现为华中师范大学特任副研究员、杨光富教授团队成员。2023 年 12 月在华中科技大学获得生物信息学工学博士学位;2024 年至 2026 年 7 月于华中科技大学软件学院计算机科学与技术博士后流动站从事博士后研究,期间加入 iSyslab。研究聚焦人工智能与生物信息学的交叉应用,包括蛋白质语言模型、生物序列与结构智能分析、RNA 结构预测、肽药物及生物信息学工具开发。

代表性论文

  1. Preview for RAFA: RNA all-atom structure reconstruction from sparse anchor coordinates
    RAFA: RNA all-atom structure reconstruction from sparse anchor coordinates
    Lei Wang, and Zilu Zeng
    Bioinformatics 2026
  2. Interdiscip. Sci.
    ProtFormer-Site: Ultra-fast and Accurate Prediction of Protein-Protein Interaction Sites with Protein Language Model
    Lei Wang, Shali Dong, Han Zhang, and 4 more authors
    Interdisciplinary Sciences: Computational Life Sciences 2026
  3. J. Mol. Biol.
    LocPred-Prok: Prokaryotic protein subcellular localization prediction with a dual-branch architecture and protein language model
    Zilu Zeng, and Lei Wang
    Journal of Molecular Biology 2026
  4. arXiv
    A Comprehensive Review of Protein Language Models
    Lei Wang, Xudong Li, Han Zhang, and 4 more authors
    arXiv preprint arXiv:2502.06881 2025
  5. BIBM
    ProtSSSD: A Novel Approach for Intrinsically Disordered Protein Region Prediction Using Protein Language Model
    Lei Wang, Zilu Zeng, Yan Wang, and 1 more author
    In IEEE International Conference on Bioinformatics and Biomedicine 2025
  6. CSBJ
    DeepNeuropePred: A robust and universal tool to predict cleavage sites from neuropeptide precursors by protein language model
    Lei Wang, Zilu Zeng, Zhidong Xue, and 1 more author
    Computational and Structural Biotechnology Journal 2024
  7. Cell Rep. Phys. Sci.
    Deciphering the protein landscape with ProtFlash, a lightweight language model
    Lei Wang, Hui Zhang, Wei Xu, and 2 more authors
    Cell Reports Physical Science 2023
  8. Preview for NeuroPred-PLM: an interpretable and robust model for neuropeptide prediction by protein language model
    NeuroPred-PLM: an interpretable and robust model for neuropeptide prediction by protein language model
    Lei Wang, Chen Huang, Mingxia Wang, and 2 more authors
    Briefings in Bioinformatics 2023
  9. CSBJ
    Improving the topology prediction of α-helical transmembrane proteins with deep transfer learning
    Lei Wang, Haolin Zhong, Zhidong Xue, and 1 more author
    Computational and Structural Biotechnology Journal 2022