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Akiyama Lab
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A lab that uses supercomputers to analyze large-scale biological data and speed up drug discovery.

AboutAbout the lab
Accelerating drug discovery with cutting-edge computing.
The Akiyama Lab studies techniques for analyzing large-scale data in medicine, pharmacy, and biology, as well as large-scale simulation.
It aims to apply this work to elucidating the causes of human disease, supporting drug discovery, and analyzing microbes in the environment.
Both analysis and simulation make full use of supercomputers and the cloud.
In drug discovery, the lab works on molecular dynamics simulation, docking simulation, and applications of machine learning.
Key terms
- Bioinformatics
- A field that interprets large-scale biological and medical data using computers and methods from information science
- Molecular dynamics simulation
- A method that calculates the forces acting between atoms to follow how molecules move over time
- Docking simulation
- Using computation to predict where and how a candidate drug molecule binds to a protein
NewsLab news
A student won the Excellent Presentation Award from the Special Interest Group on Bioinformatics of the Information Processing Society of Japan
A student won the Excellent Presentation Award from the Special Interest Group on Bioinformatics of the Information Processing Society of Japan
A student won the Like! Poster Award at the CBI Society
A student won the Excellent Presentation Award from the Special Interest Group on Bioinformatics of the Information Processing Society of Japan
ResearchResearch themes
The lab aims to apply its work to elucidating the causes of human disease, supporting drug discovery, and analyzing microbes in the environment. It studies techniques for analyzing large-scale data in medicine, pharmacy, and biology and for large-scale simulation, making full use of supercomputers and the cloud.
*Illustrative imageBioinformatics
Research on analyzing large-scale data in medicine, pharmacy, and biology. The aim is to apply it to elucidating the causes of human disease and to analyzing microbes in the environment.
*Illustrative imageComputational Support for Drug Discovery
Research that supports drug discovery through computation. The lab applies molecular dynamics simulation to biomolecules, and uses docking simulation to investigate where candidate drug molecules bind on a protein.
*Illustrative imageHigh-Performance Computing
To run large-scale simulations that make full use of supercomputers and the cloud, the lab studies massively parallel processing and cloud computing techniques.
*Illustrative imageApplications of Machine Learning
Research that applies machine learning and artificial intelligence to life science and pharmaceutical science. To advance the use of AI in peptide drug discovery, the lab has released a database of the membrane permeability of cyclic peptides.
MembersFaculty
The members of the Akiyama Lab are faculty and students at the doctoral, master's, and undergraduate levels.As of 2026
- ProfessorYutaka AkiyamaPublications ↗
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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: “Protein filament” Opabinia Regalis / CC BY-SA 3.0 (cropped)
- Bioinformatics: “3d tRNA” Vossman / CC BY-SA 3.0 (cropped)
- Computational Support for Drug Discovery: “Aripiprazole bound to Dopamine D2 Receptor docking model” EpsilonVisuals / CC BY-SA 4.0 (cropped)
- High-Performance Computing: “Amalka Supercomputing facility” Davidpodhola / CC BY-SA 3.0 (cropped)
- Applications of Machine Learning: “Cyclic peptide ipglycermide” National Center for Advancing Translational Sciences from Bethesda, MD / Public domain (cropped)
- Related lab (Masahito Ohue Lab): “Protein Crystal Structure of the human Sec23a-24a heterodimer, complexed with the SNARE protein Sec22b PDB 2nup” Emw / CC BY-SA 3.0 (cropped)
- Related lab (Sekijima Lab): “Bedaquiline 3D” Jovan.gec / CC BY-SA 4.0 (cropped)
- Related lab (Takashi Ishida Lab): “4xhe pinnatoxin pentamer” Opabinia regalis / CC BY-SA 4.0 (cropped)
- Related lab (Saito Lab): “Utah teapot surreal” Dhatfield / CC BY-SA 3.0 (cropped)
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