1.个人资料

职称：讲师

研究方向：计算生物学，深度学习，药物研发

通讯地址：天津师范大学电子与通信工程学院明理楼C区423

电子信箱：sunchang@tjnu.edu.cn

南开大学计算机博士，黑龙江大学计算机硕士（优秀毕业生）。发表SCI论文9篇，获批专利授权2项，主持省级科研项目2项。国际期刊《Interdisciplinary Sciences: Computational Life Sciences》编委，多个生信领域知名期刊审稿人。

2.论文发表：

（1）Sun C, Cao Y, Wei J M and Liu J. Autoencoder-based drug–target interaction prediction by preserving the consistency of chemical properties and functions of drugs[J]. Bioinformatics, 2021, 37(20): 3618-3625. (Q1区，影响因子：6.931；生物信息学top期刊，第一作者)

（2）Tang R,Sun C, Huang J, et al. Predicting Drug-Protein Interactions by Self-Adaptively Adjusting the Topological Structure of the Heterogeneous Network[J]. IEEE Journal of Biomedical and Health Informatics, 2023. (Q1区，影响因子：7.7；生物信息学top期刊，共同一作)

（3）Sun C, Tang R, Huang J, Wei J and Liu J.A Deep Neural Network-based Co-coding Method to Predict Drug-protein Interactions by Analyzing the Feature Consistency between Drugs and Proteins[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics , 2020. （第一作者）

（4）Huang J,Sun C, Li M, et al. Structure-inclusive similarity based directed GNN: a method that can control information flow to predict drug–target binding affinity[J]. Bioinformatics, 2024, 40(10): btae563. (Q1区，影响因子：6.931；生物信息学top期刊，共同一作)

（5）Sun C, Huang J, Tang R, et al. CPMCP: a database of Chinese patent medicine and compound prescription[J]. Database, 2022, 2022: baac073. （第一作者)

（6）Sun C, Xuan P, Zhang T and Ye Y. Graph convolutional autoencoder and generative adversarial network-based method for predicting drug-target interactions[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics , 2020, PP(99):1-1.(ESI高被引论文，第一作者)

（7）Xuan P,Sun C*, Zhang T, Ye Y, Shen T and Dong Y. Gradient boosting decision tree-based method for predicting interactions between target genes and drugs[J]. Frontiers in genetics, 2019, 10: 459.（通讯作者）

（8）Li Y,Sun C,Wei J and Liu J. Drug-Protein Interaction Prediction by Correcting the Effect of Incomplete Information in Heterogeneous Information[J]. Bioinformatics, 2022. (Q1区，影响因子：6.931；生物信息学top期刊)

（9）Hu K, Cui H, Zhang T,Sun Cand Xuan P. ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug–protein interaction prediction[J]. Briefings in Bioinformatics, 2022, 23(2): bbab606. (Q1区，影响因子：13.994；生物信息学top期刊)

3.竞赛情况

（1）中国计算机学会（CCF）生物信息学专委会举办的“CBC2021数据挑战赛”全国银奖。

（2）华为2022昇腾AI创新大赛区域赛（省赛）金奖，全国赛铜奖

（3）获“第二届点宽杯全国高校金融科技黑客松大赛”全国赛优胜奖（金奖）。

（4）华为2023昇腾AI创新大赛区域赛（省赛）铜奖

（5）2023中国国际大学生创新创业大赛 省铜