Laboratory of Bioinformatics
1. Members
Artificial Intelligence Center for Health and Biomedical Research
| The Artificial Intelligence Center for Health and Biomedical Research Director |
MIZUGUCHI Kenji |
|---|---|
| Visiting Scientist | Shandar Ahmad, Jiye Shi, TSUCHIYA Yuko, Luiz Miguel Quinn Camargo, ESAKI Tsuyoshi, MORITA Mizuki, NAGAO Chioko, NOJIMA Yosui, Lokesh P. Tripathi, WATANABE Reiko |
| Graduate Student | KOYAMA Kyohei, Martin, ONDO Ryouya, TAKADERA Kaoru |
| Research Coordinator | MORITA Takashi |
| Research Assistant | HIGUCHI Chihiro |
| Administrative Assistant | TAKIGAWA Aki |
Laboratory of Bioinformatics
| Project Leader | NATSUME Yayoi |
|---|---|
| Research Scientist | ITO Mari |
| Project Research Scientist | FUJIWARA Takeshi |
| Postdoctoral Research Associate | Rodolfo Sebastian Allendes Osorio, CHIKAMORI Hisafumi |
| Research Coordinator | KAMADA Hideyo, KURODA Masataka |
| Research Assistant | FUKAGAWA Akiko |
| Administrative Assistant | TAKINE Masami, IWAGAKI Mihoko |
2. Objectives
We carry out bioinformatics and computational biology research to assist drug discovery and development. Our work aims to provide a systems view of how genes and proteins interact with each other and perform their functions in a specific biological pathway, and of how they can be perturbed by therapeutic agents.
3. Research
I. Methods development for improved efficacy and safety
- Integrated databases for genes, proteins and chemical compounds.
- Network-based prioritization of candidate genes/proteins.
- Resources for biomarker discovery and toxicity prediction.
- Prediction of protein structure, function and interaction.
II. Applications to specific systems
Analysis of experimental data in areas including infectious diseases, cancer, vaccine development, neurological disorders, chronic inflammatory diseases and membrane proteins.
4. Applications
In specific drug discovery projects, our predictions have been verified experimentally and led to new therapeutic strategies. Some of our databases and software tools have been commercialized and used widely to characterize drug targets and related proteins.
References
- Tsuchiya Y, et al. Ligand-induced Ordering of the C-terminal Tail Primes STING for Phosphorylation by TBK1. EBioMedicine, 9:87-96, 2016.
- Chen YA, et al. Integrated pathway clusters with coherent biological themes for target prioritisation. PLoS One, 9:e99030 , 2014.
- Yoshimaru T, et al. Targeting BIG3-PHB2 interaction to overcome tamoxifen resistance in breast cancer cells. Nat Commun, 4:2443, 2013.
- Nystrom-Persson J, Igarashi Y, Ito M, Morita M, Nakatsu N, Yamada H, Mizuguchi K. Toxygates: interactive toxicity analysis on a hybrid microarray and linked data platform. Bioinformatics, 29:3080-3086, 2013.
Laboratory of Bioinformatics
| Website | https://mizuguchilab.org/ |
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