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Computational Biology Lab
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The computational biology lab uses computers to take on the elucidation of life phenomena and drug discovery.

AboutAbout the lab
Using computational science to elucidate life phenomena and take on drug discovery.
The Computational Biology Lab uses computers to conduct research and develop technologies for making drug development more efficient, and to elucidate the mechanisms of diseases.
The lab does not conduct any experiments using animals or microorganisms, and focuses on research using computers.
This research field is called "bioinformatics," and the lab aims to contribute to drug development in collaboration with researchers who conduct experiments.
Key terms
- Bioinformatics
- A research field that uses computers, rather than experiments, to handle data related to life and pharmaceuticals
- Gut microbiota
- The community of bacteria living in the intestine
- Pharmacokinetics
- The properties that describe how a drug moves within the body
NewsLab news
Paper by Associate Professor Hashimoto, Professor Mizuguchi, et al. published in Cell Reports
Paper by Professor Mizuguchi et al. published in ACS Omega
Paper by Professor Mizuguchi et al. published in Computational and Structural Biotechnology Journal
A student won the Best Presentation Award at the Institute for Protein Research's undergraduate thesis presentation meeting
Paper by Professor Mizuguchi, Associate Professor Hashimoto, et al. published in Scientific Reports
ResearchResearch themes
The lab combines information science and computational chemistry methods to conduct research aimed at elucidating diseases and life phenomena and applying the findings to areas such as drug discovery. It focuses on integrating a wide range of data, from molecular-level data to diseases and chemical compounds, and is also developing methods to predict the structures, functions, and interactions of proteins.
*Illustrative imageData integration linking molecules and life phenomena
This research integrates data in order to connect molecules with higher-order life phenomena.
*Illustrative imageAnalysis of the relationship between gut microbiota and lifestyle
The lab analyzes the relationship between gut microbiota and data such as lifestyle information. It also works on developing a platform for this analysis.
*Illustrative imagePrediction of protein-mediated interactions
This research aims to understand and predict protein-mediated interactions. The lab also works on modeling biological reactions.
*Illustrative imagePrediction of pharmacokinetics for creating new drugs
This research predicts pharmacokinetics with the aim of creating new drugs.
MembersFaculty
The members of the Computational Biology Lab are faculty, technical specialists, technical assistants, secretaries, doctoral, master's, and undergraduate students, and visiting researchers.As of 2026
- ProfessorKenji Mizuguchi
- Associate ProfessorKosuke Hashimoto
- Project ProfessorMayumi Kamada
- Project Assistant ProfessorZi Wang
- Project Assistant ProfessorQingwen Chen
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Linuron-3D-molecular-model-engraved-render-CAS-330-55-2” MolGod Scientific / CC BY-SA 4.0 (cropped)
- Data integration linking molecules and life phenomena: “20251019 Replica DNA double helix model Berlin 01” Flocci Nivis / CC BY 4.0 (cropped)
- Analysis of the relationship between gut microbiota and lifestyle: “Phosphate solubilizing bacteria cultured in petri dish” Joydeep / CC BY-SA 3.0 (cropped)
- Prediction of protein-mediated interactions: “Structure of Wild Type Human Transthyretin in Complex with Tafamidis, PDB 6E6Z” Saelices, L., Chung, K., Esswein, S., Chou, J., Liang, W., Li, J.H., Sawaya, M.R., Cascio, D., Eisenberg, D. ( ). "Structural Variants of Transthyretin". To be published. / Public domain (cropped)
- Prediction of pharmacokinetics for creating new drugs: “Paracetamol metabolism (de)” Paracetamol_metabolism.svg: Fvasconcellos (talk · contribs) derivative work: S. Jähnichen (talk) / Public domain (cropped)
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子動態モデリング研究室 (TIWARI研) ): “TriosePhosphateIsomerase Ribbon pastel” Dcrjsr / CC BY 3.0 (cropped) - Related lab (蛋白質構造データバンク構築研究室): “Neuraminidase Ribbon Diagram” NASA / Public domain (cropped)
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(岡田研) ): “Fluorescence micrograph of Thalassiosira nanae” Terry J. McGenity, Amare Gessesse, John E. Hallsworth, Esther Garcia Cela, Carol Verheecke-Vaessen, Fengping Wang, Max Chavarría, Max M. Haggblom, Søren Molin, Antoine Danchin, Eddy J. Smid, Cédric Lood, Charles S. Cockell, Corinne Whitby, Shuang-Jiang Liu, Nancy P. Keller, Lisa Y. Stein, Seth R. Bordenstein, Rup Lal, Olga C. Nunes, Lone Gram, Brajesh K. Singh, Nicole S. Webster, Cindy Morris, Sharon Sivinski, Saskia Bindschedler, Pilar Junier, André Antunes, Bonnie K. Baxter, Paola Scavone and Kenneth Timmis Photograph by Philippe Laissue. / CC BY-SA 4.0 (cropped)
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