![楊進木 https://static.aminer.cn/upload/avatar/1667/777/656/5487eaf2dabfae8a11fb3e8e_1.jpg](https://avatarcdn.aminer.cn/upload/avatar/1667/777/656/5487eaf2dabfae8a11fb3e8e_1.jpg!160)
Jinn-Moon Yang(楊進木)
教授
Department of Biology Science and Technology
Taiwan-Malaysia Oversea Science and Technology Innovation Center, National Yang Ming Chiao Tong University;College of Biological Science and Technology, National Yang Ming Chiao Tong University;Institute of Bioinformatics & Systems Biology, National Yang Ming Chiao Tung University
关注
立即认领
分享
关注
立即认领
分享
基本信息
浏览量:118
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
个人简介
Research Overview
We have extensively explored new models of computational systems biology and computer-aided drug design to study fundamental theories of molecular interactions (e.g., Molecular Interaction Family) in cells. Our goal is to study drug-protein-pathway-cellular processes-disease relationships, and to establish the links from basic research to translational medicine. To achieve these goals, our team has been committed to integrate artificial intelligence, big data, physico-chemical concepts, and biology for exploring relationships among "molecular interactions", "cell behavior" and "drug discovery principles". To validate our models, we have rigorously collaborated with biological/clinical teams and their bioassay/clinical results support and demonstrate that our models are able to address the challenges and achieve our goals. We have continuously collaborated with researchers from various universities and institutes like NHRI, Academic Sinica, research hospitals (e.g., NTUH, TMU, and KMU) and international institutes (e.g., Kyoto University and Harvard University) for resolving unmet clinical needs and important biological issues.
We have extensively explored new models of computational systems biology and computer-aided drug design to study fundamental theories of molecular interactions (e.g., Molecular Interaction Family) in cells. Our goal is to study drug-protein-pathway-cellular processes-disease relationships, and to establish the links from basic research to translational medicine. To achieve these goals, our team has been committed to integrate artificial intelligence, big data, physico-chemical concepts, and biology for exploring relationships among "molecular interactions", "cell behavior" and "drug discovery principles". To validate our models, we have rigorously collaborated with biological/clinical teams and their bioassay/clinical results support and demonstrate that our models are able to address the challenges and achieve our goals. We have continuously collaborated with researchers from various universities and institutes like NHRI, Academic Sinica, research hospitals (e.g., NTUH, TMU, and KMU) and international institutes (e.g., Kyoto University and Harvard University) for resolving unmet clinical needs and important biological issues.
研究兴趣
论文共 185 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
International Journal of Infectious Diseasespp.107085-107085, (2024)
ENVIRONMENT INTERNATIONAL (2023): 108027-108027
BMC Bioinformaticsno. 4 (2022)
Research Square (Research Square) (2022)
加载更多
作者统计
#Papers: 187
#Citation: 5739
H-Index: 38
G-Index: 70
Sociability: 6
Diversity: 1
Activity: 1
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn