职  称:副教授
研究方向:人工智能,大数据,计算生物学
办公电话:13086869997
办公地点:吉林省长春市净月大街2555号,东北师范大学计算机楼
电子邮件:wangh101@nenu.edu.cn

个人简历

王晗,男,1979年生人,副教授,博导,吉林大学与美国密苏里大学联合培养博士,现就职于东北师范大学,任东北师范大学计算生物研究所所长,中国计算机学会生物信息学专业委员会委员。人工智能学会生物信息与人工生命专业委员会委员。研究领域为生物信息学和精准医学,采用人工智能等计算手段解决生物医药学领域科学和应用问题,属于当前较为前沿的计算机交叉应用研究。主要科研优势在于药物靶点膜蛋白结构和功能研究,基于生物医药学大数据,采用深度学习等人工智能算法,进行药物作用网络构建、药物靶点筛选、药物重定向等面向精准医学的应用研究。 本人专注于生物信息学研究十余年,已发表药物靶点作用相关高级别SCI研究和综述论文多篇;获得多项包括国家自然科学基金在内的省部级项目资助,均以药物作用机制为项目研究内容;曾专职于软件项目研发,曾主持开发多项大型软件系统并投入市场应用,具有丰富的软件系统开发经验。结合当前科研方向,近年来与国内外领域专家进行密切合作,主持或参与包括药物作用等内容的多项精准医疗系统研发工作,当前受国家“重大新药创制”精神药物新药临床评价研究技术平台支持,与上海市精神卫生中心就精神疾病合并用药临床研究开展项目合作;曾与上海交通大学就科技部精准医学重大专项“精神分裂症和双相障碍多模态精准诊疗方案优化研究”合作,负责生物医疗大数据平台研发;与美国凯瑟琳癌症研究所合作,参加癌症精准医学平台cBioPortal部分工作。 邮箱:wanghan79@hotmail.com, wangh101@nenu.edu.cn 部分纵向项目: ● 吉林省科技厅国际合作项目,20180414006GH,基于多源生物大数据融合的新型药物靶点作用预测平台,2018/01-2020/12,在研,主持 ● 中国国家自然科学青年基金项目,61402098,人类膜蛋白交互组网络构建, 2015/01-2017/12,结项,主持 ● 吉林省科技厅青年基金项目,20140520072JH,基于药理分析的新药发现平台, 2014/01-2016/12,结项,主持 ● 中国博士后科学基金面上资助项目,2014M561273,药物靶点膜蛋白交互网络研究, 2015/06-2016/06,结项,主持 论文: ● Zhe Liu, Yingli Gong, Yihang Bao, Yuanzhao Guo, Han Wang*, and Ganning Lin*. TMPSS: A Deep Learning-Based Predictor for Secondary Structure and Topology Structure Prediction of Alpha-Helical Transmembrane Proteins[J]. Frontiers in Bioengineering and Biotechnology, 2021, 8. (IF: 3.644,中科院二区,Q1) ● Yanwen Li, Feng Pu, Yu Feng, J. Ji, H. Sun, and Han Wang*. MRMD-Palm: A novel method for the identification of palmitoylated protein[J]. Chemometrics and Intelligent Laboratory Systems, 2021: 104245. (IF: 2.895,Q1) ● Dong Song, Xiaxia Man, Meng Jin, Qian Li, Han Wang*, and Ye Du*. A Decision-Making Supporting Prediction Method for Breast Cancer Neoadjuvant Chemotherapy[J]. Front Oncol, 2020, 10: 592556. (IF: 4.848,中科院二区,Q2) ● Han Wang, Jiuhong Jiang, Qiufen Chen, Chunhua Zhang, Chang Lu*, and Zhiqiang Ma*. SeqTMPPI: Sequence-Based Transmembrane Protein Interaction Prediction[C]. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020: 96-99. (CCF推荐B类会议) ● Yang Yuning, Yu Jiawen, Liu Zhe, Wang Xi, Wang Han*. Ma Zhiqiang*, Xu Dong*. An Improved Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network[J]. IEEE/ACM Trans Comput Biol Bioinform, 2020: 1-1. (IF: 3.015,CCF推荐B类期刊,Q1) ● Lu Chang, Jiang Wenjie, Wang Hang, Jiang Jinxiu, Ma Zhiqiang, Wang Han*. Computational Identification and Analysis of Ubiquinone-Binding Proteins[J]. Cells, 2020, 9(2). (IF: 5.656,中科院二区,Q1) ● Lu Chang, Gong Yingli, Liu Zhe, Guo Yuanzhao, Ma Zhiqiang, Wang Han*. TM-ZC: A Deep Learning-Based Predictor for the Z-Coordinate of Residues in α-Helical Transmembrane Proteins[J]. IEEE Access, 2020, 8: 40129-40137. (IF: 4.098,中科院二区,Q1) ● Fang Chao, Jia Yajie, Hu Lihong, Lu Yinghua, Wang Han*. IMPContact: An Interhelical Residue Contact Prediction Method[J]. BioMed Research International, 2020, 2020: 1-10. (IF: 2.197) ● Lin Guan Ning, Guo Sijia, Tan Xian, Wang Weidi, Qian Wei, Song Weichen, Wang Jingru, Yu Shunying, Wang Zhen, Cui Donghong, Wang Han*. PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders[J]. Genomics Proteomics Bioinformatics, 2019, 17(4): 453-464. (IF: 6.615,中科院一区,Q1) ● Wang Han, Yang Yuning, Yu Jiawen, Wang Xi, Zhao Dawei, Xu Dong, Sun Pingping. DMCTOP: Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network[J]. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019: 36-43. (CCF推荐B类会议) ● Lu Chang, Liu Zhe, Kan Bowen, Gong Yingli, Ma Zhiqiang, Wang Han*. TMP-SSurface: A Deep Learning-Based Predictor for Surface Accessibility of Transmembrane Protein Residues[J]. Crystals, 2019, 9(12): 640. (IF: 2.642, Q2) ● Lu, C.; Liu, Z.; Zhang, E.; He, F.; Ma, Z.; Wang, H*., MPLs-Pred: Predicting Membrane Protein-Ligand Binding Sites Using Hybrid Sequence-Based Features and Ligand-Specific Models. Int. J. Mol. Sci. 2019, 20, (13). (IF: 4.183,中科院二区, Q2) ● Gong, J.; Chen, Y.; Pu, F.; Sun, P.; He, F.; Zhang, L.; Li, Y.; Ma, Z.; Wang, H.*, Understanding Membrane Protein Drug Targets in Computational Perspective. Curr. Drug Targets 2019, 20, (5), 551-564. (IF: 2.642, Q2) ● Wang, H.; Wang, J.; Zhang, L.; Sun, P.; Du, N.; Li, Y., A Sequential Segment Based Alpha-Helical Transmembrane Protein Alignment Method. Int J Biol Sci 2018, 14, (8), 901-906. (IF: 4.067,中科院二区, Q2) ● Sun, P. P.; Tan, X.; Guo, S. J.; Zhang, J. B.; Sun, B. J.; Du, N.; Wang, H.*; Sun, H., Protein Function Prediction Using Function Associations in Protein-Protein Interaction Network. Ieee Access 2018, 6, 30892-30902. (IF: 4.098,中科院二区, Q1) ● He, F.; Han, Y.; Wang, H.*; Ji, J.; Liu, Y.; Ma, Z., Deep learning architecture for iris recognition based on optimal Gabor filters and deep belief network. Journal of Electronic Imaging 2017, 26, (2). (IF: 0.78) ● Zhang, L.; Wang, H.*; Yan, L.; Su, L.; Xu, D., OMPcontact: An Outer Membrane Protein Inter-Barrel Residue Contact Prediction Method. J. Comput. Biol. 2017, 24, (3), 217-228. (IF: 1.191) ● Wang, H.; Liu, B.; Sun, P. P.; Ma, Z. Q., A Topology Structure Based Outer Membrane Proteins Segment Alignment Method. Mathematical Problems in Engineering 2013, 2013, 1-10. (IF: 1.082) ● Wang, H.; He, Z.; Zhang, C.; Zhang, L.; Xu, D., Transmembrane protein alignment and fold recognition based on predicted topology. PLoS ONE 2013, 8, (7), e69744. (IF: 3.534) ● Wang, H.; Zhang, C.; Shi, X.; Zhang, L.; Zhou, Y., Improving transmembrane protein consensus topology prediction using inter-helical interaction. Biochim. Biophys. Acta 2012, 1818, (11), 2679-86. (IF: 4.6)

社会兼职

  • 中国计算机协会(CCF)生物信息学专业委员会委员
  • 人工智能学会生物信息与人工生命专业委员会委员
  • CCF YOCEF长春AC

获奖情况 (数据来源:科学技术处、社会科学处)

教学信息 (数据来源:教务处)

科研信息

  • 详见个人简历

其它信息

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