基本情况

赵玉茗，东北林业大学计算机与人工智能学院，

教授，博士生导师，

中国计算机学会生物信息学专业委员会执行委员

中国自动化学会学生工作

委员会会员学历学位

工学博士 哈尔滨工业大学 计算机科学与技术

研究领域

生物信息学、数据挖掘、人工智能

招生专业

学术学位博士：生物信息学

学术学位硕士：计算机应用技术

专业学位硕士：计算机技术

联系方式

电子邮箱：zym@nefu.edu.cn

承担项目

1. 国家重点研发计划，“中国—新加坡肝脏病学研究“一带一路”联合实验室建设与联合研究”（子课题负责人）

2. 国家重点研发计划，“工业酶创新设计与构建”（子课题负责人）

3. 国家自然科学基金面上项目，“单细胞中染色质调控元件预测及相互作用分析”（项目负责人）

4. 国家自然科学基金面上项目，“基于多组学数据的染色质状态识别及调控功能研究”（项目负责人）

5. 国家自然科学基金青年项目，“基于高通量测序数据的启动子模式识别及调控功能研究”，（项目负责人）

表彰奖励

1. 2021年，黑龙江省自然科学二等奖，基因表达调控信息挖掘理论与方法研究，排名5

2. 2023年，东北林业大学本科教学质量一等奖

近年发表学术论文

SCI检索索引国际期刊：

1. Gao R^#, Hu H^#, Jiang Z, Cao S, Wang G, Zhao Y, Jiang T*. SVHunter: long-read-based structural variation detection through the transformer model [J]. Briefings in Bioinformatics, 2025, 26(3): bbaf203.

2. Zhou M^#, Luo Z^#, Yin Y-H, Liu Q*, Wang G*, Zhao Y*. scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification [J]. Briefings in Bioinformatics, 2025, 26(3): bbaf268.

3. Liu M, Wang S, Luo Z, Wang G, Zhao Y*. Multi-stage attention-based extraction and fusion of protein sequence and structural features for protein function prediction [J]. Bioinformatics, 2025: btaf374.

4. Teng Z, Tian Z, Zhou M, Wang G, Tian Z*, Zhao Y*. Enhancing LncRNA-miRNA interaction prediction with multimodal contrastive representation learning [J]. Briefings in Bioinformatics, 2025, 26(3): bbaf281.

5. Qiao B^#, Gao W^#, Zhang X, Du M, Liu X, Pang S, Yang C, Wang J*, Zhao Y*, Xie L*. SaGP: identifying plant saline-alkali tolerance genes based on machine learning techniques [J]. Frontiers in Plant Science, 2025, 16: 1629794.

6. Zhao Y*, Gui L, Hou C, Zhang D*, Sun S*. GwasWA: A GWAS one-stop analysis platform from WGS data to variant effect assessment [J]. Computers in Biology and Medicine, 2024, 169: 107820.

7. Zhao H, Li H, Liu Q, Dong G, Hou C, Li Y*, Zhao Y*. Using TransR to enhance drug repurposing knowledge graph for COVID-19 and its complications [J]. Methods, 2024, 221: 82-90.

8. Liu Y, Huang S, Dong G, Hou C, Zhao Y*, Zhang D*. Computational identification of DNA damage-relevant lncRNAs for predicting therapeutic efficacy and clinical outcomes in cancer [J]. Computers in Biology and Medicine, 2024: 108107.

9. Sun A, Li H, Dong G, Zhao Y*, Zhang D*. DBPboost: A method of classification of DNA-binding proteins based on improved differential evolution algorithm and feature extraction [J]. Methods, 2024, 223: 56-64.

10. Zhou M, Li H, Gao B, Zhao Y*. The prognostic impact of pathogenic stromal cell-associated genes in lung adenocarcinoma [J]. Computers in Biology and Medicine, 2024: 108692.

11. Xie X^#, Gui L^#, Qiao B, Wang G, Huang S*, Zhao Y*, Sun S*. Deep learning in template-free de novo biosynthetic pathway design of natural products [J]. Briefings in Bioinformatics, 2024, 25(6): bbae495.

12. Yu Z, Yang Y, Chen X, Wong K C, Zhang Z, Zhao Y*, Li X*. Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning [J]. Advanced Science: 2410081.

13. Li H, Zhang J, Zhao Y*, Yang W*. Predicting Corynebacterium glutamicum promoters based on novel feature descriptor and feature selection technique [J]. Frontiers in Microbiology, 2023, 14: 1141227.

14. Zhang C^#, Sheng Q^#, Zhao N^#, Huang S, Zhao Y*. DNA hypomethylation mediates immune response in pan-cancer [J]. Epigenetics, 2023, 18(1): 2192894.

15. Zhu D, Yang W, Xu D, Li H, Zhao Y*, Li D*. A deep learning based two-layer predictor to identify enhancers and their strength [J]. Methods, 2023, 211: 23-30.

16. Zhai Y^#, Zhang J^#, Zhang T, Gong Y, Zhang Z, Zhang D*, Zhao Y*. AOPM: Application of Antioxidant Protein Classification Model in Predicting the Composition of Antioxidant Drugs [J]. Frontiers in Pharmacology, 2022, 12: 818115.

17. Li H^#, Shi L^#, Gao W, Zhang Z, Zhang L, Zhao Y, Wang G*. dPromoter-XGBoost: detecting promoters and strength by combining multiple descriptors and feature selection using XGBoost [J]. Methods, 2022, 204: 215-22.

18. Zhao Z^#, Yang W^#, Zhai Y, Liang Y*, Zhao Y*. Identify DNA-binding proteins through the extreme gradient boosting algorithm [J]. Frontiers in Genetics, 2022, 12: 821996.

19. Niu K^#, Luo X^#, Zhang S, Teng Z, Zhang T*, Zhao Y*. iEnhancer-EBLSTM: identifying enhancers and strengths by ensembles of bidirectional long short-term memory [J]. Frontiers in Genetics, 2021, 12: 665498.

20. Zhang Z, Gong Y, Gao B, Li H, Gao W, Zhao Y*, Dong B*. SNAREs-SAP: SNARE proteins identification with PSSM profiles [J]. Frontiers in Genetics, 2021, 12: 809001.

21. Ao C^#, Zhang Y^#, Li D, Zhao Y*, Zou Q*. Progress in the development of antimicrobial peptide prediction tools [J]. Current Protein and Peptide Science, 2021, 22(3): 211-6.

22. Zhai Y^#, Chen Y^#, Teng Z, Zhao Y*. Identifying antioxidant proteins by using amino acid composition and protein-protein interactions [J]. Frontiers in cell and developmental biology, 2020, 8: 591487.

23. Guo Z, Wang P, Liu *, Zhao Y*. Discrimination of thermophilic proteins and non-thermophilic proteins using feature dimension reduction [J]. Frontiers in Bioengineering and Biotechnology, 2020, 8: 584807.

24. Tao Z^#, Li Y^#, Teng Z, Zhao Y*. A method for identifying vesicle transport proteins based on LibSVM and MRMD [J]. Computational and Mathematical Methods in Medicine, 2020, 2020: 1-9.

25. Chen S, Zhao Y, Zhao X*, Chen S*. Identification of putative lignin biosynthesis genes in Betula pendula [J]. Trees, 2020, 34: 1255-65.

26. Luo X, Wang F, Wang G*, Zhao Y*. Identification of methylation states of DNA regions for Illumina methylation BeadChip [J]. BMC genomics, 2020, 21(1): 1-10.

27. Tao Z, Dong B, Teng Z, Zhao Y*. The classification of enzymes by deep learning [J]. IEEE Access, 2020, 8: 89802-11.

28. Wang C, Wang P, Han S, Wang L*, Zhao Y*, Juan L*. FunEffector-Pred: identification of fungi effector by activate learning and genetic algorithm sampling of imbalanced data [J]. IEEE Access, 2020, 8: 57674-83.

近年授权发明专利

1. 基于位置特异性得分矩阵的囊泡转运蛋白识别方法及识别设备

2. 基于XGboost算法的DNA结合蛋白识别方法及相关产品

3. 基于氨基酸组成和蛋白质相互作用识别抗氧化蛋白方法

4. 基于深度特征融合的疾病相关circRNA预测系统