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Miyazaki Lab
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A lab that draws clues for drug discovery from large-scale data such as genomes.
AboutAbout the lab
Drawing drug discovery knowledge out of data
The Miyazaki Lab studies how to extract new knowledge that serves as a foundation for drug discovery from large-scale biological data, including gene data on genomes.
The lab aims to extract this knowledge using databases and virtual experiments based on computer simulations.
The lab is working to create drug discovery informatics, a new field of computer science that works in concert with experimental biology and experimental chemistry.
Its fields of specialization are bioinformatics, information science, and databases, and its listed research areas are drug discovery informatics, gene structure, and molecular evolution.
Key terms
- Bioinformatics
- A field that uses computers to handle and analyze large-scale biological data such as gene data.
- Drug discovery informatics
- A new field that uses computers to extract knowledge from large-scale biological data, providing clues for drug discovery.
- Molecular evolution
- A research field that aims to clarify the evolution of organisms based on genome sequences.
ResearchResearch themes
The Miyazaki Lab aims to extract new knowledge that serves as a foundation for drug discovery from large-scale biological data, including gene data on genomes. Using databases and virtual experiments based on computer simulations, it is working to create drug discovery informatics.
*Illustrative imageExtracting drug discovery knowledge from data
From large-scale biological data such as gene data on genomes, the lab aims to extract new knowledge that could serve as a foundation for drug discovery, through databases and virtual experiments based on computer simulations.
*Illustrative imageGenome sequence analysis and database construction
As part of its industry-academia collaboration, the lab lists the analysis of gene structure data centered on genome sequences and the construction of integrated databases. This also includes turning biological data and analysis methods into web services, and research on developing workbenches built on them.
MembersFaculty
- ProfessorSatoru Miyazaki
VoicesStudent voices
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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: “Átomos de uma proteína” Diego Mariano / CC BY-SA 4.0 (cropped)
- Extracting drug discovery knowledge from data: “DNA microarray chip” ErikAbner / CC BY 4.0 (cropped)
- Genome sequence analysis and database construction: “DNBSEQ-T7” RPSkokie / CC BY-SA 4.0 (cropped)
- Related lab (佐藤(聡)研究室): “Clear cell renal cell carcinoma -- intermed mag” Nephron / CC BY-SA 3.0 (cropped)
- Related lab (吉澤研究室): “Hospital room ubt” Tomasz Sienicki [user: tsca, mail: tomasz.sienicki at gmail.com] / Public domain (cropped)
- Related lab (礒濱研究室): “Blausen 0620 Lungs NormalvsInflamedAirway” BruceBlaus. When using this image in external sources it can be cited as: Blausen.com staff (2014). "Medical gallery of Blausen Medical 2014". WikiJournal of Medicine 1 (2). DOI:10.15347/wjm/2014.010. ISSN . / CC BY 3.0 (cropped)
- Related lab (野口研究室): “Human Respiratory Syncytial Virus (RSV) ( )” NIAID / CC BY 2.0 (cropped)
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